sjPlot (version 2.8.4)

view_df: View structure of labelled data frames

Description

Save (or show) content of an imported SPSS, SAS or Stata data file, or any similar labelled data.frame, as HTML table. This quick overview shows variable ID number, name, label, type and associated value labels. The result can be considered as "codeplan" of the data frame.

Usage

view_df(
  x,
  weight.by = NULL,
  alternate.rows = TRUE,
  show.id = TRUE,
  show.type = FALSE,
  show.values = TRUE,
  show.string.values = FALSE,
  show.labels = TRUE,
  show.frq = FALSE,
  show.prc = FALSE,
  show.wtd.frq = FALSE,
  show.wtd.prc = FALSE,
  show.na = FALSE,
  max.len = 15,
  sort.by.name = FALSE,
  wrap.labels = 50,
  verbose = FALSE,
  CSS = NULL,
  encoding = NULL,
  file = NULL,
  use.viewer = TRUE,
  remove.spaces = TRUE
)

Arguments

x

A (labelled) data frame, imported by read_spss, read_sas or read_stata function, or any similar labelled data frame (see set_label and set_labels).

weight.by

Name of variable in x that indicated the vector of weights that will be applied to weight all observations. Default is NULL, so no weights are used.

alternate.rows

Logical, if TRUE, rows are printed in alternatig colors (white and light grey by default).

show.id

Logical, if TRUE (default), the variable ID is shown in the first column.

show.type

Logical, if TRUE, adds information about the variable type to the variable column.

show.values

Logical, if TRUE (default), the variable values are shown as additional column.

show.string.values

Logical, if TRUE, elements of character vectors are also shown. By default, these are omitted due to possibly overlengthy tables.

show.labels

Logical, if TRUE (default), the value labels are shown as additional column.

show.frq

Logical, if TRUE, an additional column with frequencies for each variable is shown.

show.prc

Logical, if TRUE, an additional column with percentage of frequencies for each variable is shown.

show.wtd.frq

Logical, if TRUE, an additional column with weighted frequencies for each variable is shown. Weights strem from weight.by.

show.wtd.prc

Logical, if TRUE, an additional column with weighted percentage of frequencies for each variable is shown. Weights strem from weight.by.

show.na

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

max.len

Numeric, indicates how many values and value labels per variable are shown. Useful for variables with many different values, where the output can be truncated.

sort.by.name

Logical, if TRUE, rows are sorted according to the variable names. By default, rows (variables) are ordered according to their order in the data frame.

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.

verbose

Logical, if TRUE, a progress bar is displayed while creating the output.

CSS

A list with user-defined style-sheet-definitions, according to the official CSS syntax. See 'Details' or this package-vignette.

encoding

Character vector, indicating the charset encoding used for variable and value labels. Default is "UTF-8". For Windows Systems, encoding = "Windows-1252" might be necessary for proper display of special characters.

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.

use.viewer

Logical, 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.

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 (page.complete) and

• the html-table with inline-css for use with knitr (knitr)

for further use.

Examples

# NOT RUN {
# init dataset
data(efc)

# view variables
view_df(efc)

# view variables w/o values and value labels
view_df(efc, show.values = FALSE, show.labels = FALSE)

# view variables including variable typed, orderd by name
view_df(efc, sort.by.name = TRUE, show.type = TRUE)

# User defined style sheet
view_df(efc,
        CSS = list(css.table = "border: 2px solid;",
                   css.tdata = "border: 1px solid;",
                   css.arc = "color:blue;"))
# }
# NOT RUN {
# }