sjPlot (version 2.1.0)

sjt.stackfrq: Summary of stacked frequencies as HTML table

Description

Shows the results of stacked frequencies (such as likert scales) as HTML table. This function is useful when several items with identical scale/categories should be printed as table to compare their distributions (e.g. when plotting scales like SF, Barthel-Index, Quality-of-Life-scales etc.).

Usage

sjt.stackfrq(items, weight.by = NULL, title = NULL, var.labels = NULL, value.labels = NULL, wrap.labels = 20, sort.frq = NULL, altr.row.col = FALSE, digits = 2, string.total = "N", string.na = "NA", show.n = FALSE, show.total = FALSE, show.na = FALSE, show.skew = FALSE, show.kurtosis = FALSE, digits.stats = 2, file = NULL, encoding = NULL, CSS = NULL, use.viewer = TRUE, no.output = FALSE, remove.spaces = TRUE)

Arguments

items

data.frame with each column representing one item.

weight.by

weight factor that will be applied to weight all cases. Must be a vector of same length as the input vector. Default is NULL, so no weights are used.

title

table caption, as character vector.

var.labels

character vector with variable names, which will be used to label variables in the output.

value.labels

character vector (or list of character vectors) with value labels of the supplied variables, which will be used to label variable values in the output.

wrap.labels

numeric, determines how many chars of the value, variable or axis labels are displayed in one line and when a line break is inserted.

sort.frq

logical, indicates whether the items should be ordered by by highest count of first or last category of items.

• Use "first.asc" to order ascending by lowest count of first category,
• "first.desc" to order descending by lowest count of first category,
• "last.asc" to order ascending by lowest count of last category,
• "last.desc" to order descending by lowest count of last category,
• or NULL (default) for no sorting.

altr.row.col

logical, if TRUE, alternating rows are highlighted with a light gray background color.

digits

numeric, amount of digits after decimal point when rounding estimates and values.

string.total

label for the total N column.

string.na

label for the missing column/row.

show.n

logical, if TRUE, adds total number of cases for each group or category to the labels.

show.total

logical, if TRUE, an additional column with each item's total N is printed.

show.na

logical, if TRUE, NA's (missing values) are added to the output.

show.skew

logical, if TRUE, an additional column with each item's skewness is printed. The skewness is retrieved from the describe-function of the psych-package.

show.kurtosis

If TRUE, the variable's kurtosis is added to the summary. The kurtosis is retrieved from the describe-function of the psych-package and indicated by a lower case Greek omega.

digits.stats

amount of digits for rounding the skewness and kurtosis valuess. Default is 2, i.e. skewness and kurtosis values have 2 digits after decimal point.

file

destination file, if the output should be saved as file. If NULL (default), the output will be saved as temporary file and openend either in the IDE's viewer pane or the default web browser.

encoding

string, indicating the charset encoding used for variable and value labels. Default is NULL, so encoding will be auto-detected depending on your platform (e.g., "UTF-8" for Unix and "Windows-1252" for Windows OS). Change encoding if specific chars are not properly displayed (e.g. German umlauts).

CSS

list-object with user-defined style-sheet-definitions, according to the official CSS syntax. See 'Details'.

use.viewer

If TRUE, the HTML table is shown in the IDE's viewer pane. If FALSE or no viewer available, the HTML table is opened in a web browser.

no.output

logical, if TRUE, the html-output is neither opened in a browser nor shown in the viewer pane and not even saved to file. This option is useful when the html output should be used in knitr documents. The html output can be accessed via the return value.

remove.spaces

logical, if TRUE, leading spaces are removed from all lines in the final string that contains the html-data. Use this, if you want to remove parantheses for html-tags. The html-source may look less pretty, but it may help when exporting html-tables to office tools.

Value

Invisibly returns

• the web page style sheet (page.style),
• the web page content (page.content),
• the complete html-output (output.complete) and
• the html-table with inline-css for use with knitr (knitr)

for further use.

Details

See 'Details' in sjt.frq.

See Also

• sjPlot manual: sjt-basics
• sjp.stackfrq
• sjp.likert

Examples

# -------------------------------
# random sample
# -------------------------------
# prepare data for 4-category likert scale, 5 items
likert_4 <- data.frame(
  as.factor(sample(1:4, 500, replace = TRUE, prob = c(0.2, 0.3, 0.1, 0.4))),
  as.factor(sample(1:4, 500, replace = TRUE, prob = c(0.5, 0.25, 0.15, 0.1))),
  as.factor(sample(1:4, 500, replace = TRUE, prob = c(0.25, 0.1, 0.4, 0.25))),
  as.factor(sample(1:4, 500, replace = TRUE, prob = c(0.1, 0.4, 0.4, 0.1))),
  as.factor(sample(1:4, 500, replace = TRUE, prob = c(0.35, 0.25, 0.15, 0.25)))
)

# create labels
levels_4 <- c("Independent", "Slightly dependent", 
              "Dependent", "Severely dependent")

# create item labels
items <- c("Q1", "Q2", "Q3", "Q4", "Q5")

# plot stacked frequencies of 5 (ordered) item-scales
## Not run: 
# sjt.stackfrq(likert_4, value.labels = levels_4, var.labels = items)
# 
# # -------------------------------
# # Data from the EUROFAMCARE sample dataset
# # Auto-detection of labels
# # -------------------------------
# library(sjmisc)
# data(efc)
# # recveive first item of COPE-index scale
# start <- which(colnames(efc) == "c82cop1")
# # recveive first item of COPE-index scale
# end <- which(colnames(efc) == "c90cop9")
# 
# sjt.stackfrq(efc[, c(start:end)], altr.row.col = TRUE)
# 
# sjt.stackfrq(efc[, c(start:end)], altr.row.col = TRUE,
#              show.n = TRUE, show.na = TRUE)
#          
# # -------------------------------- 
# # User defined style sheet
# # -------------------------------- 
# sjt.stackfrq(efc[, c(start:end)], altr.row.col = TRUE, 
#              show.total = TRUE, show.skew = TRUE, show.kurtosis = TRUE,
#              CSS = list(css.ncol = "border-left:1px dotted black;",
#                         css.summary = "font-style:italic;"))## End(Not run)