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# Fonctions
# Fonction pour filtrer les données
filter_data <- function(data, input, return_columns = NULL) {
# If no column is selected, return an empty data table
if (length(input$column) == 0) {
return(data[0])
}
filtered_data <- data[
Annee_unique >= input$date_range[1] &
Annee_unique <= input$date_range[2]
]
pattern <- input$motcle
# Create a logical vector to store matches across columns
matches <- rep(FALSE, nrow(filtered_data))
# Check each selected column for matches and combine results with "OR" logic
for (col in input$column) {
if(input$regex){
matches <- matches | grepl(pattern, filtered_data[[col]])
} else {
matches <- matches | grepl(pattern, filtered_data[[col]], fixed = TRUE)
}
}
# Filter the data based on the combined matches
filtered_data <- filtered_data[matches, ]
# If return_columns is specified, select only those columns
if (!is.null(return_columns)) {
filtered_data <- filtered_data[, ..return_columns]
}
return(filtered_data)
}
plot_histogram <- function(data_frame) {
if ("Annee_unique" %in% names(data_frame) && nrow(data_frame) > 0) {
min_year <- min(na.omit(data_frame[, Annee_unique]))
max_year <- max(na.omit(data_frame[, Annee_unique]))
breaks_hist <- seq(min_year, max_year, length.out = input$num_breaks + 1)
if (input$dist_type == "raw") {
hist(data_frame()[, Annee_unique],
main = "Distribution brute des notices",
xlab = "Année",
ylab = "Nombre",
border = "blue",
col = "lightblue",
breaks = breaks_hist)
} else {
# Compute relative distribution
filtered_counts <- hist(data_frame[, Annee_unique], plot=FALSE, breaks=breaks_hist)$counts
total_counts <- hist(data[data$Annee_unique %in% data_frame[, Annee_unique], Annee_unique], plot=FALSE, breaks=breaks_hist)$counts
relative_counts <- ifelse(total_counts == 0, 0, filtered_counts / total_counts)
# Ensure names.arg matches the length of relative_counts
names_for_bars <- round(seq(min_year, max_year, length.out = length(relative_counts)))
barplot(relative_counts,
main = "Distribution relative des notices",
xlab = "Année",
ylab = "Fréquence relative",
border = "blue",
col = "lightblue",
space = 0,
names.arg = names_for_bars)
}
} else {
plot.new()
title(main = "No data available for the selected criteria")
}
}
inst_ext_f <- function(extension) {
if(!extension %in% rownames(installed.packages())) {
install.packages(extension, dependencies = TRUE)
}
require(extension, character.only = TRUE)
}
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