sjt.pca: Summary of principal component analysis as HTML table

Description

Performes a principle component analysis on a data frame or matrix (with varimax rotation) and displays the factor solution as HTML table, or saves them as file. In case a data frame is used as parameter, the Cronbach's Alpha value for each factor scale will be calculated, i.e. all variables with the highest loading for a factor are taken for the reliability test. The result is an alpha value for each factor dimension.

Usage

sjt.pca(data, nmbr.fctr = NULL, fctr.load.tlrn = 0.1, title = "Principal Component Analysis (with varimax rotation)", var.labels = NULL, wrap.labels = 40, show.cronb = TRUE, show.msa = FALSE, show.var = FALSE, altr.row.col = FALSE, digits = 2, string.pov = "Proportion of Variance", string.cpov = "Cumulative Proportion", CSS = NULL, encoding = NULL, file = NULL, use.viewer = TRUE, no.output = FALSE, remove.spaces = TRUE)

Arguments

data

data.frame that should be used to compute a PCA, or a prcomp object.

nmbr.fctr

number of factors used for calculating the varimax rotation. By default, this value is NULL and the amount of factors is calculated according to the Kaiser-criteria.

fctr.load.tlrn

specifies the minimum difference a variable needs to have between factor loadings (components) in order to indicate a clear loading on just one factor and not diffusing over all factors. For instance, a variable with 0.8, 0.82 and 0.84 factor loading on 3 possible factors can not be clearly assigned to just one factor and thus would be removed from the principal component analysis. By default, the minimum difference of loading values between the highest and 2nd highest factor should be 0.1

title

table caption. By default, title = NULL, hence no title will be used.

var.labels

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

show.cronb

logical, if TRUE (default), the cronbach's alpha value for each factor scale will be calculated, i.e. all variables with the highest loading for a factor are taken for the reliability test. The result is an alpha value for each factor dimension. Only applies when data is a data frame and no prcomp object.

show.msa

logical, if TRUE, shows an additional column with the measure of sampling adequacy according dor each component.

show.var

logical, if TRUE, the proportions of variances for each component as well as cumulative variance are shown in the table footer.

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.pov

string for the table row that contains the proportions of variances. By default, "Proportion of Variance" will be used.

string.cpov

string for the table row that contains the cumulative variances. By default, "Cumulative Proportion" will be used.

CSS

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

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).

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

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),
the html-table with inline-css for use with knitr (knitr),
the factor.index, i.e. the column index of each variable with the highest factor loading for each factor and
the removed.items, i.e. which variables have been removed because they were outside of the fctr.load.tlrn's range.

for further use.

Details

See 'Details' in sjt.frq.

Examples

Run this code

## Not run: 
# # Data from the EUROFAMCARE sample dataset
# library(sjmisc)
# data(efc)
# 
# # retrieve variable and value labels
# varlabs <- get_label(efc)
# 
# # recveive first item of COPE-index scale
# start <- which(colnames(efc) == "c82cop1")
# # recveive last item of COPE-index scale
# end <- which(colnames(efc) == "c90cop9")
#  
# # create data frame with COPE-index scale
# mydf <- as.data.frame(efc[, c(start:end)])
# colnames(mydf) <- varlabs[c(start:end)]
# 
# sjt.pca(mydf)
# 
# # auto-detection of labels
# sjt.pca(efc[, c(start:end)])## End(Not run)