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| #' "individuals_by" | ||
| #' | ||
| #' @description individuals_by function creates a force-directed network visualization using the forceNetwork function from the networkD3 package. | ||
| #' | ||
| #' @param individual_data The data frame containing the individual-level data. By default, it assumes a data frame called `individuals`. | ||
| #' @param ind_id The variable/column in the `individual_data` data frame that represents the individual identifier. By default, it assumes a column named "nom". | ||
| #' @param group The variable/column in the `individual_data` data frame that represents the grouping variable. It is used to assign colors to the nodes in the visualization. If not provided, the visualization will not group the nodes. | ||
| #' @param group_other is a string representing the name of the column in the "individual_data" data block that contains additional group information for each individual. | ||
| #' @param group_other_name is a string representing a custom name for the "group_other" column to display in the plot. | ||
| #' @param font_size numeric font size in pixels for the node text labels.By default, it is set to 7. | ||
| #' @param height numeric height for the network graph's frame area in pixels. | ||
| #' @param width numeric width for the network graph's frame area in pixels. | ||
| #' @param colour_scale character string specifying the categorical colour scale for the nodes. See \code{https://github.com/d3/d3/blob/master/API.md#ordinal-scales}. | ||
| #' @param font_family font family for the node text labels. | ||
| #' @param link_distance numeric or character string. Either numberic fixed distance between the links in pixels (actually arbitrary relative to the diagram's size). Or a JavaScript function, possibly to weight by Value. For example: linkDistance = JS("function(d){return d.value * 10}"). | ||
| #' @param link_width numeric or character string. Can be a numeric fixed width in pixels (arbitrary relative to the diagram's size). Or a JavaScript function, possibly to weight by Value. The default is linkWidth = JS("function(d) { return Math.sqrt(d.value); }"). | ||
| #' @param radius_calculation character string. A javascript mathematical expression, to weight the radius by Nodesize. The default value is radiusCalculation = JS("Math.sqrt(d.nodesize)+6"). | ||
| #' @param charge numeric value indicating either the strength of the node repulsion (negative value) or attraction (positive value). | ||
| #' @param link_colour character vector specifying the colour(s) you want the link lines to be. Multiple formats supported (e.g. hexadecimal). | ||
| #' @param opacity numeric value of the proportion opaque you would like the graph elements to be. | ||
| #' @param zoom logical value to enable (TRUE) or disable (FALSE) zooming. | ||
| #' @param arrows logical value to enable directional link arrows. | ||
| #' @param bounded logical value to enable (TRUE) or disable (FALSE) the bounding box limiting the graph's extent. See \code{http://bl.ocks.org/mbostock/1129492}. | ||
| #' @param display_labels is a numeric value representing the number of characters of the label to display on each node. | ||
| #' @param click_action character string with a JavaScript expression to evaluate when a node is clicked. | ||
| #' | ||
| #' @return Returns a network graph object | ||
| #' @export | ||
| #' | ||
| #' @examples # TODO | ||
| individuals_by <- function(individual_data = individuals, ind_id = nom, group = NULL, group_other = NULL, group_other_name = NULL, | ||
| font_size = 7, height = NULL, width = NULL, colour_scale = JS("d3.scaleOrdinal(d3.schemeCategory20);"), | ||
| font_family = "serif", link_distance = 50, link_width = JS("function(d) { return Math.sqrt(d.value); }"), | ||
| radius_calculation = "4*Math.sqrt(d.nodesize)+2", charge = -30, | ||
| link_colour = "#666", opacity = 0.6, zoom = FALSE, arrows = FALSE, | ||
| bounded = FALSE, display_labels = 0, click_action = NULL){ | ||
|
|
||
| # if (!is.null(filter_var)){ | ||
| # individual_data <- individual_data %>% | ||
| # filter(.data[[filter_var]] %in% filter_vals) | ||
| # } | ||
|
|
||
| # ind data | ||
| ind <- individual_data %>% | ||
| dplyr::mutate(id_ind = gsub("^.*?/","", {{ ind_id }})) | ||
|
|
||
| # put this if statement elsewhere - own function | ||
| # replace "other" columns with what the user selected: | ||
| if (group %in% c("pays", "activite_prof")){ | ||
| if (group == "pays") { | ||
| group_other_name = "autre_pays" | ||
| } else if (group %in% c("activite_prof")){ | ||
| group_other_name = "autre" | ||
| } | ||
| ind <- replace_other(data = ind, | ||
| group = group, | ||
| group_other_name = group_other_name, | ||
| RAS = TRUE) | ||
| } | ||
|
|
||
| ind <- replace_other(data = ind, | ||
| group = "institutions_associees", | ||
| group_other_name = "autre") | ||
| ind <- replace_other(data = ind, | ||
| group = "initiatives_associees", | ||
| group_other_name = "autre_initiative") | ||
|
|
||
| # for prep fun | ||
| ind.init_inst <- ind %>% | ||
| # Create a variable giving the institution | ||
| tidyr::pivot_longer(cols = starts_with("institutions_associees/"), names_to = "id_inst") %>% | ||
| dplyr::mutate(id_inst = gsub("^.*?/", "", id_inst)) %>% | ||
| dplyr::mutate(id_inst = gsub("institutions_associees/","", id_inst)) %>% | ||
| dplyr::filter(value == 1) %>% | ||
| dplyr::select(!value) %>% | ||
|
|
||
| # Create a variable giving the initiative | ||
| tidyr::pivot_longer(cols = starts_with("initiatives_associees/"), names_to = "id_init") %>% | ||
| dplyr::mutate(id_init = gsub("^.*?/","", id_init)) %>% | ||
| dplyr::mutate(id_init = gsub("initiatives_associees/","", id_init)) %>% | ||
| dplyr::filter(value == 1) %>% | ||
| dplyr::select(!value)%>% | ||
|
|
||
| # combine the initiative and institution column into one | ||
| tidyr::pivot_longer(cols = c(id_inst,id_init), | ||
| names_to = "inst_init_type", values_to = "id_inst_init") %>% | ||
| dplyr::mutate(inst_init_type = case_when( | ||
| inst_init_type == 'id_inst' ~ "Institution", | ||
| inst_init_type == 'id_init' ~ "Initiative")) | ||
|
|
||
| # Split the data `ind.init_inst` to just Institutions | ||
| inst.ind <- ind.init_inst %>% | ||
| dplyr::filter(inst_init_type == "Institution") %>% | ||
| dplyr::distinct(id_inst_init) %>% | ||
| dplyr::rename(id_inst = id_inst_init) | ||
|
|
||
| # Split the data `ind.init_inst` to just Initatives | ||
| init.ind <- ind.init_inst %>% | ||
| dplyr::filter(inst_init_type == "Initiative") %>% | ||
| dplyr::distinct(id_inst_init) %>% | ||
| dplyr::rename(id_init = id_inst_init) # rename "id_init" by "id_inst_init" | ||
|
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||
| # Creating the node data: bind our three data sets together | ||
| # (individual, inst.ind, init.ind) | ||
| # Add a column to state if it is individual, institution, or initiative data | ||
| nodes_init_by <- bind_rows ( | ||
| "Individu(e)" = rename(ind, id=id_ind), | ||
| "Institution" = rename(inst.ind, id=id_inst), | ||
| "Initiative" = rename(init.ind, id=id_init), | ||
| .id = "type") %>% | ||
| # add a weight | ||
| tidyr::mutate(type_weight = case_when( | ||
| type == 'Individu(e)' ~ 1, | ||
| type == 'Institution' ~ 2, | ||
| type == 'Initiative' ~ 3)) | ||
|
|
||
| # Create notes and links data | ||
| # if there is a group variable, then create a "group_type" variable | ||
| if (!is.null(group)){ | ||
| nodes_init_by <- nodes_init_by %>% | ||
| dplyr::mutate(group_type = case_when( | ||
| type == 'Individu(e)' ~ .data[[group]], | ||
| type == 'Institution' ~ "Institution", | ||
| type == 'Initiative' ~ "Initiative")) %>% | ||
| dplyr::mutate(id_index = row_number() - 1) %>% | ||
| dplyr::select(c("id", "id_index", "type_weight", "group_type")) | ||
| } else { | ||
| nodes_init_by <- nodes_init_by %>% | ||
| dplyr::mutate(id_index = row_number()-1) %>% | ||
| dplyr::select(c("id", "id_index", "type", "type_weight")) | ||
| } | ||
|
|
||
| # Merge the id_index column into the ind.init_inst data by initiative | ||
| # set this id_index column to be "target" | ||
| links_init_by <- ind.init_inst %>% | ||
| dplyr::left_join(y=rename(select(nodes_init_by, id, id_index), | ||
| target=id_index), | ||
| by = c("id_inst_init"="id")) | ||
|
|
||
| # Now merge in the id_index column into the ind.init_inst data by individual | ||
| # set this id_index column to be "source" | ||
| links_init_by <- links_init_by %>% | ||
| dplyr::left_join(y=rename(select(nodes_init_by, id, id_index), | ||
| source=id_index), | ||
| by = c("id_ind"="id")) | ||
|
|
||
| # Add a numerical weight to whether it is institution or initiative | ||
| links_init_by <- links_init_by %>% | ||
| dplyr::mutate(inst_init_type_weight = case_when( | ||
| inst_init_type == "Institution" ~ '2', | ||
| inst_init_type == "Initiative" ~ '1')) %>% | ||
| dplyr::select(c(target, source, inst_init_type, inst_init_type_weight)) | ||
|
|
||
| if (display_labels) { | ||
| display_labels = 1 | ||
| } else { | ||
| display_labels = 0 | ||
| } | ||
|
|
||
| if (is.null(group)){ | ||
| networkD3::forceNetwork(Links = links_init_by, | ||
| Nodes = nodes_init_by, | ||
| Source = "source", | ||
| Target = "target", | ||
| NodeID = "id", | ||
| Nodesize = "type_weight", | ||
| Group = "type", | ||
| legend = TRUE, | ||
| fontSize = font_size, | ||
| height = height, width = width, | ||
| colourScale = colour_scale, fontFamily = font_family, | ||
| linkDistance = link_distance, linkWidth = link_width, | ||
| radiusCalculation = radius_calculation, charge = charge, | ||
| linkColour = link_colour, opacity = opacity, zoom = zoom, | ||
| arrows = arrows, bounded = bounded, opacityNoHover = display_labels, | ||
| clickAction = click_action) | ||
| } | ||
| else { | ||
| networkD3::forceNetwork(Links = links_init_by, | ||
| Nodes = nodes_init_by, | ||
| Source = "source", | ||
| Target = "target", | ||
| NodeID = "id", | ||
| Nodesize = "type_weight", | ||
| Group = "group_type", | ||
| legend = TRUE, | ||
| fontSize = font_size, | ||
| height = height, width = width, | ||
| colourScale = colour_scale, fontFamily = font_family, | ||
| linkDistance = link_distance, linkWidth = link_width, | ||
| radiusCalculation = radius_calculation, charge = charge, | ||
| linkColour = link_colour, opacity = opacity, zoom = zoom, | ||
| arrows = arrows, bounded = bounded, opacityNoHover = display_labels, | ||
| clickAction = click_action) | ||
| } | ||
| } | ||
|
|
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