ggEasyPlots: Convenience functions for ggplots based on multiple variables

In userfriendlyscience: Quantitative Analysis Made Accessible

Description

These are convenience functions to quickly generate plots for multiple variables, with the variables in the y axis.

Usage

ggEasyRidge(data,
            items = NULL,
            labels = NULL,
            sortByMean = TRUE,
            xlab = NULL,
            ylab = NULL)

ggEasyBar(data,
          items = NULL,
          labels = NULL,
          sortByMean = TRUE,
          xlab = NULL,
          ylab = NULL,
          scale_fill_function =
            scale_fill_viridis(discrete = TRUE,
                               guide = guide_legend(title = NULL,
                                                    nrow=1)),
          fontColor = "white",
          fontSize = 2,
          labelMinPercentage = 1,
          showInLegend = "both",
          biAxisLabels = NULL)

Arguments

data	The dataframe containing the variables.
items	The variable names (if not provided, all variables will be used).
labels	Labels can optionally be provided; if they are, these will be used instead of the variable names.
sortByMean	Whether to sort the variables by mean value.
xlab, ylab	The labels for the x and y axes.
scale_fill_function	The function to pass to ggplot to provide the colors of the bars.
fontColor, fontSize	The color and size of the font used to display the labels
labelMinPercentage	The minimum percentage that a category must reach before the label is printed (in whole percentages, i.e., on a scale from 0 to 100).
showInLegend	What to show in the legend in addition to the values; nothing ("none"), the frequencies ("freq"), the percentages ("perc"), or both ("both"). This is only used if only one variable is shown in the plot; afterwise, after all, the absolute frequencies and percentages differ for each variable.
biAxisLabels	This can be used to specify labels to use if you want to use labels on both the left and right side. This is mostly useful when plotting single questions or semantic differentials. This must be a list with two character vectors, leftAnchors and rightAnchors, which must each have the same length as the number of items specified in items. See the examples for, well, examples.

Value

A ggplot plot is returned.

Author(s)

Gjalt-Jorn Peters

Maintainer: Gjalt-Jorn Peters <[e-mail]>

See Also

geom_ridgeline, geom_bar

Examples

ggEasyBar(mtcars, c('gear', 'carb'));
ggEasyRidge(mtcars, c('disp', 'hp'));

### When plotting single questions, if you want to show the anchors:
ggEasyBar(mtcars, c('gear'),
          biAxisLabels=list(leftAnchors="Fewer",
                            rightAnchors="More"));

### Or for multiple questions (for e.g. semantic differentials):
ggEasyBar(mtcars, c('gear', 'carb'),
          biAxisLabels=list(leftAnchors=c("Fewer", "Lesser"),
                            rightAnchors=c("More", "Greater")));

Example output

Registered S3 method overwritten by 'GGally':
  method from   
  +.gg   ggplot2
Registered S3 methods overwritten by 'lme4':
  method                          from
  cooks.distance.influence.merMod car 
  influence.merMod                car 
  dfbeta.influence.merMod         car 
  dfbetas.influence.merMod        car 
Picking joint bandwidth of 41.9
Warning messages:
1: In min(x) : no non-missing arguments to min; returning Inf
2: In max(x) : no non-missing arguments to max; returning -Inf

userfriendlyscience documentation built on May 2, 2019, 1:09 p.m.