Learn R Programming

sjPlot (version 2.8.4)

sjplot: Wrapper to create plots and tables within a pipe-workflow

Description

This function has a pipe-friendly argument-structure, with the first argument always being the data, followed by variables that should be plotted or printed as table. The function then transforms the input and calls the requested sjp.- resp. sjt.-function to create a plot or table. Both sjplot() and sjtab() support grouped data frames.

Usage

sjplot(data, ..., fun = c("grpfrq", "xtab", "aov1", "likert"))

sjtab(data, ..., fun = c("xtab", "stackfrq"))

Arguments

data

A data frame. May also be a grouped data frame (see 'Note' and 'Examples').

...

Names of variables that should be plotted, and also further arguments passed down to the sjPlot-functions. See 'Examples'.

fun

Plotting function. Refers to the function name of sjPlot-functions. See 'Details' and 'Examples'.

Value

See related sjp. and sjt.-functions.

Details

Following fun-values are currently supported:

"aov1"

calls sjp.aov1. The first two variables in data are used (and required) to create the plot.

"grpfrq"

calls plot_grpfrq. The first two variables in data are used (and required) to create the plot.

"likert"

calls plot_likert. data must be a data frame with items to plot.

"stackfrq"

calls tab_stackfrq. data must be a data frame with items to create the table.

"xtab"

calls plot_xtab or tab_xtab. The first two variables in data are used (and required) to create the plot or table.

Examples

Run this code
# NOT RUN {
library(dplyr)
data(efc)

# Grouped frequencies
efc %>% sjplot(e42dep, c172code, fun = "grpfrq")

# Grouped frequencies, as box plots
efc %>% sjplot(e17age, c172code, fun = "grpfrq",
               type = "box", geom.colors = "Set1")

# }
# NOT RUN {
# table output of grouped data frame
efc %>%
  group_by(e16sex, c172code) %>%
  select(e42dep, n4pstu, e16sex, c172code) %>%
  sjtab(fun = "xtab", use.viewer = FALSE) # open all tables in browser
# }
# NOT RUN {
# }

Run the code above in your browser using DataLab