plotfunctions (version 1.4)

check_normaldist: Compare distribution of data with normal distribution.

Description

Compare distribution of data with normal distribution.

Usage

check_normaldist(
  res,
  col = "red",
  col.normal = "black",
  legend.pos = "topright",
  legend.label = "data",
  ...
)

Arguments

res

Vector with residuals or other data for which the distribution .

col

Color for filling the area. Default is black.

col.normal

Color for shading and line of normal distribution.

legend.pos

Position of legend, can be string (e.g., 'topleft') or an xy.coords object.

legend.label

Text string, label for plotted data distribution.

...

Optional arguments for the lines. See par.

See Also

Other Functions for plotting: addInterval(), add_bars(), add_n_points(), alphaPalette(), alpha(), color_contour(), dotplot_error(), drawDevArrows(), emptyPlot(), errorBars(), fill_area(), getCoords(), getFigCoords(), getProps(), gradientLegend(), legend_margin(), marginDensityPlot(), plot_error(), plot_image(), plotsurface(), sortBoxplot()

Examples

# NOT RUN {
set.seed(123)
# normal distribution:
test <- rnorm(1000)
check_normaldist(test)
# t-distribution:
test <- rt(1000, df=5)
check_normaldist(test)
# skewed data, e.g., reaction times:
test <- exp(rnorm(1000, mean=.500, sd=.25))
check_normaldist(test)
# center first:
check_normaldist(scale(test))
# binomial distribution:
test <- rbinom(1000, 1, .3)
check_normaldist(test)
# count data:
test <- rbinom(1000, 100, .3)
check_normaldist(test)
# }