spell check fixed

R/core.R

@@ -14,7 +14,7 @@
 #' @param auth_code logical, if TRUE will open a browser with the user and request the authentication code to continue the authentication process. Viya 2022+ only.
 #' @param authinfo A `character` string that specifies an alternative path to a `.authinfo` file that is used for authentication. By default, `~/.authinfo` is used on Linux and `%HOMEDRIVE%` or `\%HOMEPATH%\_authinfo` is used on Windows.
 #' @param verbose logical, return print API call information
-#' @param cacert ca certificat list
+#' @param cacert ca certificate list
 #' @param platform logical, make a get call to get platform information (release, OS, siteName)
 #' 
 #' @return `viya_connection` class object
@@ -392,8 +392,8 @@ vGET <- function(session,
 #' @param path character, path to the GET api endpoint
 #' @param payload list or json string, if it is a list, will be transformed in a json string using `jsonlite::toJSON`
 #' @param ... additional parameters to be passed to `httr::POST` such as `httr::add_headers`
-#' @param query list, additional URL query paramenters
-#' @param fragment string, additional URL fragment paramenter `url.com?query#fragment`
+#' @param query list, additional URL query parameters
+#' @param fragment string, additional URL fragment parameter `url.com?query#fragment`
 #' @param encode payload encoding type, to be passed to `httr::POST`.
 #' @param verbose logical, return print API call information
 #' @param output string, if `output = "json"` will return `httr::fromJSON(httr::content(response, as = "text"))`,

R/json_files.R

@@ -635,7 +635,7 @@ calculateFitStat <- function(validadedf,
 #' Write dmcas_roc Json
 #'
 #' Calculates the ROC curve from user data and writes it to a JSON file for
-#' importing into the common model repository. Binary reponse only.
+#' importing into the common model repository. Binary response only.
 #'
 #' @param validadedf `data.frame` where the first column in the yActual (labels/value) and the second is yPrediction (target probability)
 #' @param testdf `data.frame` where the first column in the yActual (labels/value) and the second is yPrediction (target probability)
@@ -831,7 +831,7 @@ calculateROCStat <- function(validadedf,
 #' Write dmcas_lift Json
 #'
 #' Calculates the lift curves from user data and writes to a JSON file for
-#' importing into the common model repository. Binary reponse only.
+#' importing into the common model repository. Binary response only.
 #'
 #' @param validadedf `data.frame` where the first column in the yActual (labels/value) and the second is yPrediction (target probability)
 #' @param testdf `data.frame` where the first column in the yActual (labels/value) and the second is yPrediction (target probability)
@@ -1115,7 +1115,7 @@ compute_lift_coordinates <- function(DepVar,
 #' 
 #' @seealso 
 #' 
-#' All parameters are passed to [sasctl::calculateLiftStat()], [sasctl::calculateLiftStat()] and [sasctl::calculateLiftStat()] for matching paramentes.
+#' All parameters are passed to [sasctl::calculateLiftStat()], [sasctl::calculateLiftStat()] and [sasctl::calculateLiftStat()] for matching parameters.
 #' 
 #' @examples
 #'

R/model_repository.R

@@ -3,7 +3,7 @@
 
 #' Register a zip file inside model manager
 #' 
-#' Registers a zip formated model in sas Model Manager.
+#' Registers a zip formatted model in SAS Model Manager.
 #' 
 #' @param session viya_connection object, obtained through `session` function
 #' @param file path to file
@@ -1022,7 +1022,7 @@ delete_model_contents <- function(session, model, content, exact = TRUE){
 #' @param start the index of the first content to return
 #' @param exact boolean, If the filter query should use "contains" for partial match or "eq" for exact match
 #' @param ... additional parameters to be passed to `httr::GET` such as `httr::add_headers`
-#' @return A `MMmodelContentList` list with the list of contets
+#' @return A `MMmodelContentList` list with the list of contents
 #' @examples
 #' 
 #' \dontrun{
@@ -1326,7 +1326,7 @@ add_model_content <-  function(session, file,
 #' 
 #' - The file should start with a function with all the input variables which SAS Viya will use to insert data
 #' 
-#' - Then it is followed by a comment line `#output: outvar1, outvar2` which is case sensitve annd must follow that
+#' - Then it is followed by a comment line `#output: outvar1, outvar2` which is case sensitive and must follow that
 #' structure so SAS can receive the function output properly.
 #' 
 #' - If you are using a previously created model, it should be read, we recommend `.rda` format, but could be
@@ -1335,7 +1335,7 @@ add_model_content <-  function(session, file,
 #' 
 #' - You then can use any logic to score the model or just an arbitrary R code.
 #' 
-#' - To pass the information back to SAS it must return a list of the variables defined at the beggining of the
+#' - To pass the information back to SAS it must return a list of the variables defined at the beginning of the
 #' script.
 #' 
 #' @param path path to create file, default current working directory