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ParentAppData_CleaningAndAnalysis.R
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# run libraries
library(tidyverse)
library(here)
#Source the personal setup for data
source(here("config", "Personal Setup.R"))
#Get data from excel
UIC.Tracker <- rio::import(file = here("data", "UIC Tracker.xlsx"), which = "UIC Tracker 211014")
#Get the List of PLH Tables and data from server
plh_tables <- dbListTables(plh_con)
df <- dbReadTable(plh_con, plh_tables[2])
#Source the personal setup for data
#Manuel step source("Personal Setup Script.R")
#Source the data cleaning and setup
source(here("ParentAppData_setupclean.R"))
#Write clean data back to Metabase
dbWriteTable(parent_app_con, "Cleaned PLH data", select(plhdata_org_clean,!(contact_fields)), overwrite=TRUE)
# Define list of organisations
orgs_list <- levels(plhdata_org_clean$Org)
# Show the summary of app versions
sjPlot::sjtab(data=plhdata_org_clean, Org, app_version, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
#Subset the data
#####Create a subset for an organisation NONTOBEKO####
# Create subsets of the data based on organisation NONTOBEKO
Organization_Table(data=plhdata_org, Org_name = "Nontobeko")
#plhdata_org_NONTOBEKO <- filter(plhdata_org, Org == "Nontobeko")
# Show any app user ids that are invalid and do not come from the app.
#plhdata_org_NONTOBEKO %>% filter(is.na(plhdata_org_NONTOBEKO$'app_version')) %>% select('app_user_id')
# Create subsets of the data based on valid NONTOBEKOM app user ID's
#plhdata_org_NONTOBEKO <- filter(plhdata_org_NONTOBEKO, !is.na(plhdata_org_NONTOBEKO$'app_version'))
# Show the summary of app versions
#sjmisc::frq(x=plhdata_org_NONTOBEKO$'app_version', out="txt")
# Show any app user ids that have only synced initial data.
plhdata_org_NONTOBEKO %>% filter(is.na(plhdata_org_NONTOBEKO$rp.contact.field.first_app_open)) %>% select('app_user_id')
#####Create a subset for an organisation DLALANATHI####
# Create subsets of the data based on organisation DLALANATHI
Organization_Table(data=plhdata_org, Org_name = "Dlalanathi")
# Show any app user ids that have only synced initial data [done for each Org under subsetting but also with for loop further below]
plhdata_org_DLALANATHI %>% filter(is.na(plhdata_org_DLALANATHI$rp.contact.field.first_app_open)) %>% select('app_user_id')
#####Create a subset for an organisation HILLCREST####
Organization_Table(data=plhdata_org, Org_name = "Hillcrest")
#plhdata_org_HILLCREST <- filter(plhdata_org, Org == "Hillcrest")
# Show any app user ids that are invalid and do not come from the app.
#plhdata_org_HILLCREST %>% filter(is.na(plhdata_org_HILLCREST$'app_version')) %>% select('app_user_id')
# Create subsets of the data based on valid HILLCREST app user ID's
#plhdata_org_HILLCREST <- filter(plhdata_org_HILLCREST, !is.na(plhdata_org_HILLCREST$'app_version'))
# Show the summary of app versions
#sjmisc::frq(x=plhdata_org_HILLCREST$'app_version', out="txt")
# Show any app user ids that have only synced initial data.
plhdata_org_HILLCREST %>% filter(is.na(plhdata_org_HILLCREST$rp.contact.field.first_app_open)) %>% select('app_user_id')
#####Create a subset for an organisation Joy####
Organization_Table(data=plhdata_org, Org_name = "Joy")
# Create subsets of the data based on organisation Joy
#plhdata_org_Joy <- filter(plhdata_org, Org == "Joy")
# Show any app user ids that are invalid and do not come from the app.
#plhdata_org_Joy %>% filter(is.na(plhdata_org_Joy$'app_version')) %>% select('app_user_id')
# Create subsets of the data based on valid Joy app user ID's
#plhdata_org_Joy <- filter(plhdata_org_Joy, !is.na(plhdata_org_Joy$'app_version'))
# Show the summary of app versions
#sjmisc::frq(x=plhdata_org_Joy$'app_version', out="txt")
# Show any app user ids that have only synced initial data.
plhdata_org_Joy %>% filter(is.na(plhdata_org_Joy$rp.contact.field.first_app_open)) %>% select('app_user_id')
#####Create a subset for an organisation Amathuba####
Organization_Table(data=plhdata_org, Org_name = "Amathuba")
# Create subsets of the data based on organisation Amathuba
#plhdata_org_Amathuba <- filter(plhdata_org, Org == "Amathuba")
# Show any app user ids that are invalid and do not come from the app.
#plhdata_org_Amathuba %>% filter(is.na(plhdata_org_Amathuba$'app_version')) %>% select('app_user_id')
# Create subsets of the data based on valid Joy app user ID's
#plhdata_org_Amathuba <- filter(plhdata_org_Amathuba, !is.na(plhdata_org_Amathuba$'app_version'))
# Show the summary of app versions
#sjmisc::frq(x=plhdata_org_Amathuba$'app_version', out="txt")
# Show any app user ids that have only synced initial data.
plhdata_org_Amathuba %>% filter(is.na(plhdata_org_Amathuba$rp.contact.field.first_app_open)) %>% select('app_user_id')
#Workshop started & completed analysis
# Show the summary of Self care workshop started(1st Workshop)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_self_care_started, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
#plhdata_org_clean%>%dplyr::filter(Nontobeko,Joy,Amathuba,Dlalanathi)%>%sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_self_care_started, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
# Show the summary of Self care workshop completion(1st Workshop)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_self_care_completed , show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
# Show the summary of One-on-One Time started(2nd Workshop)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_1on1_started , show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
# Show the summary of One-on-One Time completion(2nd Workshop)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_1on1_completed , show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
# Show the summary of Praise started(3rd workshop)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_praise_started , show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
# Show the summary of Praise(3rd Workshop)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_praise_completed , show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
## Show the summary of Positive Instructions(4th workshop)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_instruct_started , show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
# Show the summary of Positive Instructions(4th workshop)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_instruct_completed , show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
# Show the summary of Managing Stress(5th workshop)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_stress_started , show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
# Show the summary of Managing Stress(5th workshop)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_stress_completed , show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
# Show the summary of Family Budgets(6th workshop)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_money_started , show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
# Show the summary of Family Budgets(6th workshop)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_money_completed , show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
#Baseline survey
# Show the summary of baseline survey completion
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.survey_welcome_completed , show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
#Descriptive statistics
#Show the summary of user gender
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.user_gender, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
#Show the summary of user age
plhdata_org_clean$rp.contact.field.user_age <- as.numeric(plhdata_org_clean$rp.contact.field.user_age)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.user_age, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
#show the summary , household adults
plhdata_org_clean$rp.contact.field.household_adults <- as.numeric(plhdata_org_clean$rp.contact.field.household_adults)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.household_adults, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
#show the summary of , household teens
plhdata_org_clean$rp.contact.field.household_teens <- as.numeric(plhdata_org_clean$rp.contact.field.household_teens)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.household_teens, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
#show the summary of , household babies
plhdata_org_clean$rp.contact.field.household_babies <- as.numeric(plhdata_org_clean$rp.contact.field.household_babies)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.household_babies, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
#show the summary of , household children
plhdata_org_clean$rp.contact.field.household_children <- as.numeric(plhdata_org_clean$rp.contact.field.household_children)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.household_children, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
#show the summary of app versions, language
user_id_print <- function(field) {
for (o in orgs_list) {
# print organisation first
print(o)
# print filtered data
print(
plhdata_org%>%
filter(Org == o) %>%
select('app_user_id', field)
)
}
}
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field._app_language, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field._app_language")
#Time spent on the workshops.
#Self care workshop
plhdata_org_clean$rp.contact.field.w_1on1_diff_started_completed <- as.numeric(plhdata_org_clean$rp.contact.field.w_1on1_diff_started_completed)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_self_care_diff_started_completed, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
#One on one time workshop
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_1on1_diff_started_completed, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
#Parent Points
##Show summary for each Parent Point, all time number of clicks - for each user
user_id_print <- function(field) {
for (o in orgs_list) {
# print organisation first
print(o)
# print filtered data
print(
plhdata_org %>%
filter(Org == o) %>%
select('app_user_id', field)
)
}
}
#HABIT: Relax
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_relax, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_relax")
# Replaced by above
# plhdata_org_NONTOBEKO %>% select('app_user_id', "rp.contact.field.parent_point_count_relax")
# plhdata_org_DLALANATHI %>% select('app_user_id', "rp.contact.field.parent_point_count_relax")
# plhdata_org_Joy %>% select('app_user_id', "rp.contact.field.parent_point_count_relax")
# plhdata_org_HILLCREST %>% select('app_user_id', "rp.contact.field.parent_point_count_relax")
#HABIT: Treat yourself well
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_treat_yourself, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_treat_yourself")
#HABIT: Praise yourself
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_praise_yourself, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_praise_yourself")
#HABIT:One-on-one time
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_spend_time, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_spend_time")
#HABIT:Praise your teen
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_praise_teen, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_praise_teen")
#HABIT:Get Positive
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_instruct_positively, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_instruct_positively")
#HABIT:Breathe not yell
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_breathe, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_breathe")
#HABIT:Good money choice
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_money, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_money")
#HABIT:Calm consequence
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_consequence, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_consequence")
#HABIT:Safe
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_safe, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_safe")
##Show the summary for each parent point and each week, number of clicks in that week for each user.
#HABIT:Relax WORKSHOP:Self Care
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_relax_w_self_care, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_relax_w_self_care")
#Replaced by above
#plhdata_org_NONTOBEKO %>% select('app_user_id', "rp.contact.field.parent_point_count_relax_w_self_care")
#plhdata_org_DLALANATHI %>% select('app_user_id', "rp.contact.field.parent_point_count_relax_w_self_care")
#plhdata_org_Joy %>% select('app_user_id', "rp.contact.field.parent_point_count_relax_w_self_care")
#plhdata_org_HILLCREST %>% select('app_user_id', "rp.contact.field.parent_point_count_relax_w_self_care")
#HABIT:Treat yourself well WORKSHOP:Self Care
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_treat_yourself_w_self_care, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_treat_yourself_w_self_care")
#HABIT:Praise yourself well WORKSHOP:Self Care
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_praise_yourself_w_self_care, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_praise_yourself_w_self_care")
#HABIT:One-on-one time WORKSHOP:Self Care
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_spend_time_w_self_care, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_spend_time_w_self_care")
#HABIT:Praise your teen WORKSHOP:Self Care
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_praise_teen_w_self_care, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_praise_teen_w_self_care")
#HABIT:Breathe not yell WORKSHOP:Self Care
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_breathe_w_self_care, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_breathe_w_self_care")
#HABIT:Good Money Choice WORKSHOP:Self Care
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_money_w_self_care, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_money_w_self_care")
#HABIT:Calm Consequence WORKSHOP:Self Care
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_consequence_w_self_care, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_consequence_w_self_care")
#HABIT:Safe WORKSHOP:Self Care
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_safe_w_self_care, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_safe_w_self_care")
#HABIT:Relax WORKSHOP:One-on-one time
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_relax_w_1on1, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_relax_w_1on1")
#HABIT:Treat yourself well WORKSHOP:One-on-one time
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_treat_yourself_w_1on1, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_treat_yourself_w_1on1")
#HABIT:Praise yourself well WORKSHOP:One-on-one time
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_praise_yourself_w_1on1, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_treat_yourself_w_1on1")
#HABIT:One-on-one time WORKSHOP:One-on-one time
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_spend_time_w_1on1, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_spend_time_w_1on1")
#HABIT:Praise your teen WORKSHOP:One-on-one time
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_praise_teen_w_1on1, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_praise_teen_w_1on1")
#HABIT:Breathe not yell WORKSHOP:One-on-one time
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_breathe_w_1on1, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_breathe_w_1on1")
#HABIT:Good Money Choice WORKSHOP:One-on-one time
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_money_w_1on1, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_money_w_1on1")
#HABIT:Calm Consequence WORKSHOP:One-on-one time
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_consequence_w_1on1, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_consequence_w_1on1")
#HABIT:Safe WORKSHOP:One-on-one time
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.parent_point_count_safe_w_1on1, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.parent_point_count_safe_w_1on1")
## Show any app user ids that have only synced initial data [Not working as expected]
# sjPlot::sjtab(data=plhdata_org_clean, Org, is.na(rp.contact.field.first_app_open), show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
# user_id_print("rp.contact.field.first_app_open")
#Workshop completion level
#show the summary of total number of activities viewed out of total number of workshop activities (steppers)#####
#percentage corresponding to the proportion the proportion out of the 9 items of the stepper. For example, 4/9 =0.4444444 = 45.
#which is the best way to identify the number of steppers for each workshop?###
user_id_print <- function(field) {
for (o in orgs_list) {
# print organisation first
print(o)
# print filtered data
print(
plhdata_org %>%
filter(Org == o) %>%
select('app_user_id', field)
)
}
}
#(Welcome and Self-Care Workshop)
#change column names to numeric
plhdata_org_clean$rp.contact.field.w_self_care_completion_level <- as.numeric(plhdata_org_clean$rp.contact.field.w_self_care_completion_level)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_self_care_completion_level, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.w_self_care_completion_level")
#Replaced by above
#Show app user ids and their completion levels(Selfcare):NONTOBEKO
#plhdata_org_NONTOBEKO %>% select('app_user_id', "rp.contact.field.w_self_care_completion_level")
#Show app user ids and whether their completion levels(Selfcare):DLALANATHI
#plhdata_org_DLALANATHI %>% select('app_user_id', "rp.contact.field.w_self_care_completion_level")
#Show app user ids and whether their completion levels(Selfcare):JOY
#plhdata_org_JOY %>% select('app_user_id', "rp.contact.field.w_self_care_completion_level")
#One-on-One Time
plhdata_org_clean$rp.contact.field.w_1on1_completion_level <- as.numeric(plhdata_org_clean$rp.contact.field.w_1on1_completion_level)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_1on1_completion_level, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.w_1on1_completion_level")
#Praise
plhdata_org_clean$rp.contact.field.w_praise_completion_level <- as.numeric(plhdata_org_clean$rp.contact.field.w_praise_completion_level)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_praise_completion_level, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.w_praise_completion_level")
#Positive Instructions
plhdata_org_clean$rp.contact.field.w_instruct_completion_level <- as.numeric(plhdata_org_clean$rp.contact.field.w_instruct_completion_level)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_instruct_completion_level, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.w_instruct_completion_level")
#Managing Stress
plhdata_org_clean$rp.contact.field.w_stress_completion_level <- as.numeric(plhdata_org_clean$rp.contact.field.w_stress_completion_level)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_stress_completion_level, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.w_stress_completion_level")
#Family Budgets
plhdata_org_clean$rp.contact.field.w_money_completion_level <- as.numeric(plhdata_org_clean$rp.contact.field.w_money_completion_level)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_money_completion_level, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.w_money_completion_level")
#Rules
plhdata_org_clean$rp.contact.field.w_safe_completion_level <- as.numeric(plhdata_org_clean$rp.contact.field.w_safe_completion_level)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_safe_completion_level, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.w_safe_completion_level")
#Calm Consequences
plhdata_org_clean$rp.contact.field.w_consequence_completion_level <- as.numeric(plhdata_org_clean$rp.contact.field.w_consequence_completion_level)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_consequence_completion_level, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.w_consequence_completion_level")
#Problem Solving
plhdata_org_clean$rp.contact.field.w_solve_completion_level <- as.numeric(plhdata_org_clean$rp.contact.field.w_solve_completion_level)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_solve_completion_level, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.w_solve_completion_level")
#Teen Safety
plhdata_org_clean$rp.contact.field.w_safe_completion_level <- as.numeric(plhdata_org_clean$rp.contact.field.w_safe_completion_level)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_safe_completion_level, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.w_safe_completion_level")
#Dealing with Crisis
plhdata_org_clean$rp.contact.field.w_crisis_completion_level <- as.numeric(plhdata_org_clean$rp.contact.field.w_crisis_completion_level)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_crisis_completion_level, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.w_crisis_completion_level")
#Celebration and Next Steps
plhdata_org_clean$rp.contact.field.w_celebrate_completion_level <- as.numeric(plhdata_org_clean$rp.contact.field.w_celebrate_completion_level)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_celebrate_completion_level, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.w_celebrate_completion_level")
##Response to each survey question (respond, skip, exit)
#Question: how to find average number "no value" responses to survey questions per org
#Days attention past week
# Show the summary of survey_welcome_a_1_final
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.survey_welcome_a_1_final, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.survey_welcome_a_1_final")
# Days of praise past week
# Show the summary of survey_welcome_a_2_final
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.survey_welcome_a_2_final, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.survey_welcome_a_2_final")
#Days of stress past week
# Show the summary of survey_welcome_a_3_final
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.survey_welcome_a_3_final, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.survey_welcome_a_3_final")
#Days of shouting past week
# Show the summary of survey_welcome_a_4_final
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.survey_welcome_a_4_final, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.survey_welcome_a_4_final")
#Days of money worry past week
# Show the summary of survey_welcome_a_5_part_1_final
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.survey_welcome_a_5_part_1_final, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.survey_welcome_a_5_part_1_final")
# Show the summary of survey_welcome_a_5_part_2_final
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.survey_welcome_a_5_part_2_final, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.survey_welcome_a_5_part_2_final")
#Days of hitting past week
# Show the summary of survey_welcome_a_6_final
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.survey_welcome_a_6_final, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.survey_welcome_a_6_final")
# Knowledge of teen activity past week
# Show the summary of survey_welcome_a_7_part_1_final
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.survey_welcome_a_7_part_1_final, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.survey_welcome_a_7_part_1_final")
# iff "7" to 7.1: Lockdown? yes/no
# Show the summary of survey_welcome_a_7_part_2_final
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.survey_welcome_a_7_part_2_final, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.survey_welcome_a_7_part_2_final")
#iff "7" to 7.1: Knowledge of teen activity in non-lockdown week
# Show the summary of survey_welcome_a_7_part_3_final
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.survey_welcome_a_7_part_3_final, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.survey_welcome_a_7_part_3_final")
#Days of sexual safety talk past month
# Show the summary of survey_welcome_a_8_final
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.survey_welcome_a_8_final, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.survey_welcome_a_8_final")
#Days of teen COVID safe past week
# Show the summary of survey_welcome_a_9_final
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.survey_welcome_a_9_final, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.survey_welcome_a_9_final")
##Parent Library###
#Show the summary of number of times users access the Parent Library(Number of clicks on the Parent Library tile on the home screen)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_hs_parent_centre_count, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.click_hs_parent_centre_count")
#Show the summary of type of content accessed (Number of clicks on any button on the Parent Library page)
#Help
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_pc_help_count, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.click_pc_help_count")
#My Tips
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_pc_my_tips_count, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.click_pc_my_tips_count")
#Essential Tools
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_pc_essential_tools_count, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.click_pc_esential_tools_count")
#COVID
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_pc_covid_count, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.click_pc_covid_count")
#Customise
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_pc_customisation_count, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.click_pc_customisation_count")
#Relax and Activities
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_pc_relax_and_activities_count, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.click_pc_relax_and_activities_count")
#Support Contacts
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_pc_support_contacts_count, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.click_pc_support_contacts_count")
#Evidence Base
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_evidence_base_count, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.click_evidence_base_count")
#Technical Support
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_pc_technical_support_count, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.click_pc_technical_support_count")
#Message Archive
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_pc_message_archive_count, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.click_pc_message_archive_count")
###Completion status of baseline survey
# Show the summary of baseline survey completion(Organisaton-wise)
sjmisc::frq(x=plhdata_org_NONTOBEKO$rp.contact.field.survey_welcome_completed, out="txt")
sjmisc::frq(x=plhdata_org_JOY$rp.contact.field.survey_welcome_completed, out="txt")
sjmisc::frq(x=plhdata_org_HILLCREST$rp.contact.field.survey_welcome_completed, out="txt")
sjmisc::frq(x=plhdata_org_DLALANATHI$rp.contact.field.survey_welcome_completed, out="txt")
# Show the summary of user ids on baseline survey completion (Organisaton-wise)
user_id_print("rp.contact.field.survey_welcome_completed")
#In-app reminders(Number of in-app message clicks per workshop week),Per quick start button, per workshop week
user_id_print <- function(data = plhdata_org_clean, field) {
for (o in unique(data$Org)) {
# print organisation first
print(o)
# print filtered data
print(
data %>%
filter(Org == o) %>%
select('app_user_id', field)
)
}
}
plhdata_org_clean$hsqsclickedws1<-is.na(plhdata_org_clean$rp.contact.field.click_hs_weekly_workshops_quick_start_w_self_care)
sjPlot::sjtab(data=plhdata_org_clean, Org, hsqsclickedws1, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print(data =plhdata_org_DLALANATHI, field = "rp.contact.field.click_hs_weekly_workshops_quick_start_w_self_care")
plhdata_org_clean$hsqsclickedws2<-!is.na(plhdata_org_clean$rp.contact.field.click_hs_weekly_workshops_quick_start_w_1on1)
sjPlot::sjtab(data=plhdata_org_clean, Org, hsqsclickedws2, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
#Test 1
user_id_print <- function(field) {
for (o in orgs_list) {
# print organisation first
print(o)
# print filtered data
print(
plhdata_org %>%
filter(Org == o) %>%
select('app_user_id', field)
)
}
}
#plhdata_org_clean$rp.contact.field.click_hs_weekly_workshops_quick_start_count_w_self_care<-!is.na(plhdata_org_clean$rp.contact.field.click_hs_weekly_workshops_quick_start_count_w_self_care)
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_hs_weekly_workshops_quick_start_count_w_self_care, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.click_hs_weekly_workshops_quick_start_count_w_self_care")
user_id_print("Org")
#plhdata_org_clean$hsqsclickedws1<-!is.na(plhdata_org_clean$rp.contact.field.click_hs_weekly_workshops_quick_start_count_w_self_care)
plhdata_org_clean$hsqsclickedcountws1<-!is.na(plhdata_org_clean$rp.contact.field.click_hs_weekly_workshops_quick_start_count_w_self_care)
#sjPlot::sjtab(data=plhdata_org_clean, Org, hsqsclickedws1, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
sjPlot::sjtab(data=plhdata_org_clean, Org,hsqsclickedcountws1 , show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
user_id_print("rp.contact.field.click_hs_weekly_workshops_quick_start_count_w_self_care")
plhdata_org_NONTOBEKO %>% select('app_user_id', "rp.contact.field.click_hs_weekly_workshops_quick_start_count_w_self_care")
plhdata_org_clean$hsqsclickedws2<-!is.na(plhdata_org_clean$rp.contact.field.click_hs_weekly_workshops_quick_start_w_1on1)
sjPlot::sjtab(data=plhdata_org_clean, Org, hsqsclickedws2, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
#Test 2 Priority 22 (how to interpret data?)
#Number of in-app message clicks per workshop week.Per quick start button, per workshop week
#Workshops
#Self Care workshop
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_hs_weekly_workshops_quick_start_w_self_care, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
#replaced by above(contact field is non-existent-removed count)
#sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_hs_weekly_workshops_quick_start_count_w_self_care, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
#In-app reminders(Number of in-app message clicks per workshop week),Per quick start button, per workshop week
plhdata_org_clean$hsqsclickedws1<-!is.na(plhdata_org_clean$rp.contact.field.click_hs_weekly_workshops_quick_start_w_self_care)
sjPlot::sjtab(data=plhdata_org_clean, Org, hsqsclickedws1, show.summary=FALSE, digits=0, fun="xtab", title="", string.total="Total")
#One-on-one time workshop
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_hs_weekly_workshops_quick_start_w_1on1, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
#Praise
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_hs_weekly_workshops_quick_start_w_praise, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
#Positive Instructions
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_hs_weekly_workshops_quick_start_w_instruct, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
#Managing Stress
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_hs_weekly_workshops_quick_start_w_stress, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
#Family Budgets
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_hs_weekly_workshops_quick_start_w_money, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
#Rules
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_hs_weekly_workshops_quick_start_w_rules, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
#Calm Consequence
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_hs_weekly_workshops_quick_start_w_consequence, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
#Problem Solving
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_hs_weekly_workshops_quick_start_w_solve, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
#Teen Safety
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_hs_weekly_workshops_quick_start_w_safe, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
#Dealing with crisis(how to interpret:could mean that people have not interacted with the app)
# sjPlot::sjtab(data=plhdata_org_clean,
# Org,
# rp.contact.field.click_hs_weekly_workshops_quick_start_w_crisis,
# show.summary=FALSE,
# digits=0, fun="xtab",
# title="",
# string,
# total="Total")
table(plhdata_org_clean$Org,plhdata_org_clean$rp.contact.field.click_hs_weekly_workshops_quick_start_w_crisis)
#Celebration and Next Steps
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_hs_weekly_workshops_quick_start_w_celebrate, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
#Parent center
#Self Care workshop
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_hs_parent_centre_quick_start_w_self_care, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
#One-on-one time workshop
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_hs_parent_centre_quick_start_w_1on1, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
#Parent points
#Self Care workshop
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_hs_parent_points_quick_start_w_self_care, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
#One-on-one time workshop
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_hs_parent_points_quick_start_w_1on1, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
#Priority 23
#In-app reminders
#Total number of in-app message clicks.By User
#Weekly workshops
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_hs_weekly_workshops_quick_start_count, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
#Parent center
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_hs_parent_centre_quick_start_count, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
#Parent points
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.click_hs_parent_points_quick_start_count, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
#Priority 19
#App-opens
#Total number of app-opens for each user(cumulative)
#cabrine <- plhdata_org_clean
user_id_print <- function(field) {
for (o in orgs_list) {
# print organisation first
print(o)
# print filtered data
print(
plhdata_org %>%
filter(Org == o) %>%
select('app_user_id', field)
)
}
}
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.app_launch_count, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
user_id_print("rp.contact.field.app_launch_count")
##Priority 20
#App-opens
#Number of app opens within a workshop week for each user
#Self Care Workshop
user_id_print <- function(field) {
for (o in orgs_list) {
# print organisation first
print(o)
# print filtered data
print(
plhdata_org %>%
filter(Org == o) %>%
select('app_user_id', field)
)
}
}
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.app_launch_count_w_self_care, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
user_id_print("rp.contact.field.app_launch_count_w_self_care")
#One-on-one time workshop
user_id_print <- function(field) {
for (o in orgs_list) {
# print organisation first
print(o)
# print filtered data
print(
plhdata_org %>%
filter(Org == o) %>%
select('app_user_id', field)
)
}
}
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.app_launch_count_w_1on1, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
user_id_print("rp.contact.field.app_launch_count_w_1on1")
##Priority 21
#App-opens
#Maximum time between app-opens - for each user.Time in full days
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.max_days_between_app_launches, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
#Priority 36
#Emotional Check-in
#Rate of users who respond “happy” ,"sad" & "ok"
#Self Care Workshop
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_self_care_welcome_individual_a_final, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
#One on one time workshop
user_id_print <- function(data = plhdata_org_clean, field) {
for (o in unique(data$Org)) {
# print organisation first
print(o)
# print filtered data
print(
data %>%
filter(Org == o) %>%
select('app_user_id', field)
)
}
}
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_1on1_welcome_individual_a_final, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
user_id_print(data =plhdata_org_DLALANATHI, field = "rp.contact.field.w_1on1_welcome_individual_a_final")
#Praise Workshop
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_praise_welcome_individual_a_final, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
#Positive Instructions Workshop
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_instruct_welcome_individual_a_final, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
#Managing Stress Workshop
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_stress_welcome_individual_a_final, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
#Family Budgets
sjPlot::sjtab(data=plhdata_org_clean, Org, rp.contact.field.w_money_welcome_individual_a_final, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
#Rules
sjPlot::sjtab(data=plhdata_org_clean, Organisation, rp.contact.field.w_rules_welcome_individual_a_final, show.summary=FALSE, digits=0, fun="xtab", title="",string.total="Total")
# Show app user ids and whether they have completed selfcare.
plhdata_org_Joy %>% select('app_user_id', "rp.contact.field.w_self_care_completed")
# Show app user ids and whether they have started selfcare.
plhdata_org_Joy %>% select('app_user_id', "rp.contact.field.w_self_care_started")
# Show app user ids and whether they have started One-on-One time
plhdata_org_Joy %>% select('app_user_id', "rp.contact.field.w_1on1_started")
#####Completion rate of introductory session(Workshop 1:Selfcare)####
# Show the summary of self care completion
sjmisc::frq(x=plhdata_org_NONTOBEKO$rp.contact.field.w_self_care_completed, out="txt")
# Show app user ids and whether they have completed selfcare.
plhdata_org_NONTOBEKO %>% select('app_user_id', "rp.contact.field.w_self_care_completed")
# Show app user ids and whether they have started selfcare.
plhdata_org_NONTOBEKO %>% select('app_user_id', "rp.contact.field.w_self_care_started")
# Show app user ids and whether they have started one-on-one time
plhdata_org_NONTOBEKO %>% select('app_user_id', "rp.contact.field.w_1on1_started")
#TODO
#####Completion status of baseline survey####
# Show the summary of baseline survey completion(NONTEBEKOM)
sjmisc::frq(x=plhdata_org_NONTOBEKO$rp.contact.field.survey_welcome_completed, out="txt")
# Show app user ids and whether they have completed the baseline survey.
plhdata_org_NONTOBEKO %>% select('app_user_id', "rp.contact.field.survey_welcome_completed")
# Show the summary of baseline survey completion(JOYN)
sjmisc::frq(x=plhdata_org_JOY$rp.contact.field.survey_welcome_completed, out="txt")
# Show app user ids and whether they have completed the baseline survey
plhdata_org_JOY %>% select('app_user_id', "rp.contact.field.survey_welcome_completed")
# Show the summary of baseline survey completion(HILLCREST)
sjmisc::frq(x=plhdata_org_HILLCREST$rp.contact.field.survey_welcome_completed, out="txt")
# Show app user ids and whether they have completed the baseline survey
plhdata_org_HILLCREST %>% select('app_user_id', "rp.contact.field.survey_welcome_completed")
# Show the summary of baseline survey completion(DLALANATHI)
sjmisc::frq(x=plhdata_org_DLALANATHI$rp.contact.field.survey_welcome_completed, out="txt")
# Show app user ids and whether they have completed the baseline survey
plhdata_org_DLALANATHI %>% select('app_user_id', "rp.contact.field.survey_welcome_completed")
####Response to each survey question (respond, skip, exit)#####
# Days attention past week
# Show the summary of survey_welcome_a_1(NONTEBEKOM)
sjmisc::frq(x=plhdata_org_NONTOBEKO$rp.contact.field.survey_welcome_a_1_final, out="txt")
# Show app user ids and their responses to survey_welcome_a_1
plhdata_org_NONTOBEKO %>% select('app_user_id', "rp.contact.field.survey_welcome_a_1_final")
# Show the summary of survey_welcome_a_1(JOYN)
sjmisc::frq(x=plhdata_org_JOY$rp.contact.field.survey_welcome_a_1_final, out="txt")
# Show app user ids and their responses to survey_welcome_a_1
plhdata_org_JOY %>% select('app_user_id', "rp.contact.field.survey_welcome_a_1_final")
# Show the summary of survey_welcome_a_1(DLALANATHI)
sjmisc::frq(x=plhdata_org_DLALANATHI$rp.contact.field.survey_welcome_a_1_final, out="txt")
# Show app user ids and their responses to survey_welcome_a_1
plhdata_org_DLALANATHI %>% select('app_user_id', "rp.contact.field.survey_welcome_a_1_final")
# Show the summary of survey_welcome_a_1(HILLCREST)
sjmisc::frq(x=plhdata_org_HILLCREST$rp.contact.field.survey_welcome_a_1_final, out="txt")
# Show app user ids and their responses to survey_welcome_a_1
plhdata_org_HILLCREST %>% select('app_user_id', "rp.contact.field.survey_welcome_a_1_final")
# Days of praise past week
# Show the summary of survey_welcome_a_2_final(NONTEBEKOM)
sjmisc::frq(x=plhdata_org_NONTOBEKO$rp.contact.field.survey_welcome_a_2_final, out="txt")
# Show app user ids and their responses to survey_welcome_a_2_final
plhdata_org_NONTOBEKO %>% select('app_user_id', "rp.contact.field.survey_welcome_a_2_final")
# Show the summary of survey_welcome_a_2_final(JOYN)
sjmisc::frq(x=plhdata_org_JOY$rp.contact.field.survey_welcome_a_2_final, out="txt")
# Show app user ids and their responses to survey_welcome_a_2_final
plhdata_org_JOY %>% select('app_user_id', "rp.contact.field.survey_welcome_a_2_final")
# Show the summary of survey_welcome_a_2_final(DLALANATHI)
sjmisc::frq(x=plhdata_org_DLALANATHI$rp.contact.field.survey_welcome_a_2_final, out="txt")
# Show app user ids and their responses to survey_final_a_2_final
plhdata_org_DLALANATHI %>% select('app_user_id', "rp.contact.field.survey_welcome_a_2_final")
# Show the summary of survey_welcome_a_2_final(HILLCREST)
sjmisc::frq(x=plhdata_org_HILLCREST$rp.contact.field.survey_welcome_a_2_final, out="txt")
# Show app user ids and their responses to survey_welcome_a_2_final