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Last data update: 2014.03.03

R: Summarize Item Analysis into Table

ReportTable

R Documentation

Summarize Item Analysis into Table

Description

This function takes the output of ItemAnalysis() and produces a useful table with item statistics. It also writes the table in the working directory, if asked to.

Usage

ReportTable(it, write_file=FALSE, sep=";")

Arguments

`it`	Output from `ItemAnalysis`
`write_file`	logical. Should a text file be written?
`sep`	Separator to use in the text output file.

Details

If asked to write a file, it will do so in the working directory.

Value

A data frame with item statistics, specifically:

`Item`	Number or Name of the Item.
`Corr. with Scale`	Correlation of the item with the sum of the rest of the items.
`Factor Loading`	Loading of the Item to a Single Factor
`Mean`	Item Mean
`SD`	Item SD

Author(s)

Nikolaos Giallousis, psierevn@gmail.com

Examples

data(Depression98)
depressionScale <- Scale(data=Depression98, 
                         orders=list(
                           c(16,19,11,9,1,17,5,18,4,8,2,12,
                             20,10,14,6,3,13,15,7),
                           c(1,18,4,15,7,8,3,14,20,6,19,16,
                             12,5,10,13,2,17,11,9)),
                         orders_id=c(
                           rep(1, 49),
                           rep(2, 49)),
                         reverse=c(3,4,13,14,18,20),
                         col_names= paste('q', 1:20, sep=''))
depressionPre <- PreProc(depressionScale)

depressionRel <- ItemAnalysis(depressionPre)

ReportTable(depressionRel)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(Scale)
Loading required package: psych
Loading required package: Hmisc
Loading required package: lattice
Loading required package: survival
Loading required package: Formula
Loading required package: ggplot2

Attaching package: 'ggplot2'

The following objects are masked from 'package:psych':

    %+%, alpha


Attaching package: 'Hmisc'

The following object is masked from 'package:psych':

    describe

The following objects are masked from 'package:base':

    format.pval, round.POSIXt, trunc.POSIXt, units

Loading required package: MASS
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/Scale/ReportTable.Rd_%03d_medium.png", width=480, height=480)
> ### Name: ReportTable
> ### Title: Summarize Item Analysis into Table
> ### Aliases: ReportTable
> ### Keywords: survey multivariate
> 
> ### ** Examples
> 
> data(Depression98)
> depressionScale <- Scale(data=Depression98, 
+                          orders=list(
+                            c(16,19,11,9,1,17,5,18,4,8,2,12,
+                              20,10,14,6,3,13,15,7),
+                            c(1,18,4,15,7,8,3,14,20,6,19,16,
+                              12,5,10,13,2,17,11,9)),
+                          orders_id=c(
+                            rep(1, 49),
+                            rep(2, 49)),
+                          reverse=c(3,4,13,14,18,20),
+                          col_names= paste('q', 1:20, sep=''))
> depressionPre <- PreProc(depressionScale)
Warning message:
In PreProc(depressionScale) :
  Items' vector unspecified. out$items is NULL...
> 
> depressionRel <- ItemAnalysis(depressionPre)
> 
> ReportTable(depressionRel)
    Item Corr. to scale Factor Loading     Mean        SD
q12  q12      0.6102391      0.6541123 2.244898 1.1492824
q11  q11      0.4884530      0.5471951 1.357143 0.7071068
q9    q9      0.4636682      0.5349238 2.540816 1.0665328
q5    q5      0.4672954      0.5168634 1.877551 1.0960595
q20  q20      0.4409165      0.5111198 2.193878 0.8811680
q2    q2      0.4334911      0.4998320 1.402062 0.8619236
q18  q18      0.4055010      0.4997000 2.632653 1.1611206
q7    q7      0.4258818      0.4816417 2.908163 1.0943787
q10  q10      0.4298022      0.4729194 2.500000 1.3179960
q14  q14      0.4081698      0.4727368 2.357143 0.8995990
q17  q17      0.4079807      0.4582502 2.816327 1.2546568
q16  q16      0.4099898      0.4515751 2.765306 1.2746620
q6    q6      0.3830278      0.4347683 3.000000 1.2435400
q8    q8      0.3726962      0.4320918 1.357143 0.8403485
q19  q19      0.3827926      0.4259260 2.826531 1.2764764
q13  q13      0.3828851      0.4173177 2.329897 1.0177759
q4    q4      0.3600026      0.4109354 2.581633 1.1746767
q15  q15      0.3146081      0.3400521 2.928571 1.2205289
q3    q3      0.2439006      0.2900250 2.285714 1.3393336
q1    q1      0.1966437      0.2265837 2.806122 1.2735061
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>