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fixing bug and simplify the function as well as removing MSNI <3 #3

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fixing bug and simplify the function as well as removing MSNI <3 #3

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38 changes: 25 additions & 13 deletions R/intersection.R
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@
#' @param lsg character vector of all column names of LSG indices
#' @param lsg_labels character vector of all labels for LSG indices
#' @param index_filter numeric vector where index will get 1s if in the filter, and 0s otherwise
#' @param weighting_function function for weighting the data frame
#' @param weighting_function_or_column function for weighting the data frame OR column name containing the survey weights
#' @param nintersects number of intersections to include in the plot
#' @param exclude_unique whether the set intersections should include singular sets. Note that if this is set to True, the total set size on the left will be wrong
#' @param mutually_exclusive_sets whether
Expand All @@ -19,12 +19,12 @@
#' @export
index_intersections <- function(df,
lsg = c("education_lsg",
"shelter_lsg",
"fsl_lsg",
"health_lsg",
"nutrition_lsg",
"protection_lsg",
"wash_lsg"),
"shelter_lsg",
"fsl_lsg",
"health_lsg",
"nutrition_lsg",
"protection_lsg",
"wash_lsg"),
lsg_labels = c("Education",
"Shelter",
"Food",
Expand All @@ -34,8 +34,8 @@ index_intersections <- function(df,
"WASH"),
y_label = "% in need per combination of sectors",
index_filter = c(3,4,5),
weight_variable = NULL,
weighting_function = NULL,
weight_variable = NULL,
weighting_function_or_column = NULL,
nintersects = 12,
exclude_unique = T,
mutually_exclusive_sets = T,
Expand All @@ -44,9 +44,20 @@ index_intersections <- function(df,
plot_name = "intersection",
path = NULL) {

df$survey_weight <- df[[weighting_function_or_column]]

if(is.function(weighting_function_or_column)) {weighting_function_or_column <- weighting_function_or_column}
if(!is.function(weighting_function_or_column)) {weighting_function_or_column <- function(df){
df$survey_weight
}
}

df <- df |> filter(pmax(!!!syms(lsg),na.rm = T)> 2) ### getting rid of surveys with MSNI less than 3

df <- mutate_at(df, lsg, ~ .x %in% index_filter)

suppressWarnings(
if (!is.null(lsg_labels) & !is.na(lsg_labels)) {
if (!is.null(lsg_labels) & length(lsg_labels)!= 0) {
df <- rename_at(df, lsg, ~ lsg_labels)
lsg <- lsg_labels
}
Expand All @@ -58,8 +69,8 @@ index_intersections <- function(df,
pdf(paste0(plot_name, ".pdf"), width = 4, height = 4, onefile = F)
p <- plot_set_percentages(df,
lsg,
weight_variable = weight_variable,
weighting_function = weighting_function,
weight_variable = weight_variable,
weighting_function = weighting_function_or_column,
nintersects = nintersects,
exclude_unique = exclude_unique,
mutually_exclusive_sets = mutually_exclusive_sets,
Expand All @@ -72,11 +83,12 @@ index_intersections <- function(df,
plot_set_percentages(df,
lsg,
weight_variable = weight_variable,
weighting_function = weighting_function,
weighting_function = weighting_function_or_column,
nintersects = nintersects,
exclude_unique = exclude_unique,
mutually_exclusive_sets = mutually_exclusive_sets,
round_to_1_percent = round_to_1_percent,
label = y_label)
}
}