sjPlot (version 2.4.1)

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("frq", "grpfrq", "xtab", "gpt", "scatter", "aov1",
  "likert", "stackfrq"))
sjtab(data, ..., fun = c("frq", "xtab", "grpmean", "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.

"frq"

calls sjp.frq or sjt.frq. If data has more than one variable, a plot for each variable in data is plotted.

"gpt"

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

"grpfrq"

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

"grpmean"

calls sjt.grpmean. The first two variables in data are used (and required) to create the table.

"likert"

calls sjp.likert. data must be a data frame with items to plot.

"scatter"

calls sjp.scatter. The first two variables in data are used (and required) to create the plot; if data also has a third variable, this is used as grouping- variable in sjp.scatter.

"stackfrq"

calls sjp.stackfrq or sjt.stackfrq. data must be a data frame with items to create the plot or table.

"xtab"

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

Examples

# NOT RUN {
library(dplyr)
data(efc)

# Frequency plot
sjplot(efc, e42dep, c172code, fun = "frq")

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

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

# scatter plot, grouped
efc %>%
  select(e42dep, c172code, c161sex) %>%
  sjplot(fun = "scatter")

# frequencies, as plot grid
efc %>%
  select(e42dep, c172code, e16sex, c161sex) %>%
  sjplot() %>%
  plot_grid()

# plot grouped data frame
efc %>%
  group_by(e16sex, c172code) %>%
  select(e42dep, e16sex, c172code) %>%
  sjplot(wrap.title = 100) # no line break for subtitles

# }
# 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 {
# }