R/ScatterPlotbyPerformance_m2.R

In derecost/LOGAN: Log File Analysis in International Large-Scale Assessments

#' Plot: Percentage in arcsine values x PISA scores by Country
#'
#' This is a function that calculates the percentage in arcsine and plots it against
#' the PISA scores
#'
#' @param data A \code{matrix} or \code{data.frame} where the 'strategy.var' and performance
#' variables are
#' @param strategy.summary strategy.summary
#' @param performance.mean performance.mean
#' @param country.id  A string with the name of the countries variable. It is "quo()" type.
#' @param ylab.text A character string giving the text of the y-axis in the plot
#' @param xlab.text A character string giving the text of the x-axis in the plot
#' @param ylim.vector A numeric vector with the limits of the y-axis in the plot
#' @param xlim.vector A numeric vector with the limits of the x-axis in the plot
#'
#' @return This function returns a data frame and a plot
ScatterPlotbyPerformance <- function(data, strategy.summary, performance.mean,
                                     country.id, ylab.text, xlab.text,
                                     ylim.vector, xlim.vector) {

    graphics::plot(data[[strategy.summary]], data[[performance.mean]],
                   xlab = xlab.text, ylab = ylab.text,
                   ylim = ylim.vector, xlim = xlim.vector)
    graphics::text(data[[strategy.summary]], data[[performance.mean]],
                   labels = data[[country.id]], cex = 0.6, pos = 3)
}