@@ -10,6 +10,7 @@
 10 10 `#' @param type Lower tail or upper tail.` 11 11 `#' @param normal If \code{TRUE}, normal curve with same \code{mean} and` 12 12 `#' \code{sd} as the chi square distribution is drawn.` 13 + `#' @param xaxis_range The upper range of the X axis.` 13 14 `#' @param print_plot logical; if \code{TRUE}, prints the plot else returns a plot object.` 14 15 `#'` 15 16 `#' @examples`
@@ -30,7 +31,8 @@
 30 31 `#'` 31 32 `#' @export` 32 33 `#'` 33 - `vdist_chisquare_plot <- function(df = 3, normal = FALSE, print_plot = TRUE) {` 34 + `vdist_chisquare_plot <- function(df = 3, normal = FALSE,` 35 + ` xaxis_range = 25, print_plot = TRUE) {` 34 36 35 37 ` if (!is.numeric(df)) {` 36 38 ` stop("df must be numeric/integer")`
@@ -43,7 +45,7 @@
 43 45 ` df <- as.integer(df)` 44 46 ` chim <- round(df, 3)` 45 47 ` chisd <- round(sqrt(2 * df), 3)` 46 - ` x <- seq(0, 25, 0.01)` 48 + ` x <- seq(0, xaxis_range, 0.01)` 47 49 ` data <- stats::dchisq(x, df)` 48 50 49 51 ` plot_data <- data.frame(x = x, chi = data)`
@@ -62,7 +64,7 @@
 62 64 ` ggplot2::xlab(paste("Mean =", chim, " Std Dev. =", chisd)) +` 63 65 ` ggplot2::theme(plot.title = ggplot2::element_text(hjust = 0.5),` 64 66 ` plot.subtitle = ggplot2::element_text(hjust = 0.5)) +` 65 - ` ggplot2::scale_x_continuous(breaks = seq(0, 25, 2)) +` 67 + ` ggplot2::scale_x_continuous(breaks = seq(0, xaxis_range, 2)) +` 66 68 ` ggplot2::geom_polygon(data = poly_data,` 67 69 ` mapping = ggplot2::aes(x = y, y = z),` 68 70 ` fill = '#4682B4') +`
Files Coverage
R 91.41%
Project Totals (8 files) 91.41%
52.1
52.4
52.2
 1 ```comment: false ``` 2 3 ```coverage: ``` 4 ``` status: ``` 5 ``` project: ``` 6 ``` default: ``` 7 ``` target: auto ``` 8 ``` threshold: 1% ``` 9 ``` patch: ``` 10 ``` default: ``` 11 ``` target: auto ``` 12 ``` threshold: 1% ```
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