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
orread_stata
function, or any similar labelled data frame (seeset_label
andset_labels
).- weight.by
Name of variable in
x
that indicated the vector of weights that will be applied to weight all observations. Default isNULL
, 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 fromweight.by
.- show.wtd.prc
Logical, if
TRUE
, an additional column with weighted percentage of frequencies for each variable is shown. Weights strem fromweight.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 opened 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. IfFALSE
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
) andthe html-table with inline-css for use with knitr (
knitr
)
for further use.
Examples
if (FALSE) { # \dontrun{
# 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;"))} # }