Selectively print Reliability data from an ItemAnalysis object, created by the ItemAnalysis() function.
Usage
## S3 method for class 'reliability'
print(x, ...)
Arguments
x
A reliability object, part of the ItemAnalysis() function output, accessible with it$rely, where it is an ItemAnalysis object.
...
Further arguments to be passed on to print generic method.
Author(s)
Nikolaos Giallousis, psierevn@gmail.com
Examples
data(Depression98)
depressionScale <- Scale(data=Depression98,
orders=list(
c(16,19,11,9,1,17,5,18,4,8,2,12,
20,10,14,6,3,13,15,7),
c(1,18,4,15,7,8,3,14,20,6,19,16,
12,5,10,13,2,17,11,9)),
orders_id=c(
rep(1, 49),
rep(2, 49)),
reverse=c(3,4,13,14,18,20),
col_names= paste('q', 1:20, sep=''))
depressionPre <- PreProc(depressionScale)
depressionRel <- ItemAnalysis(depressionPre)
# specifies that you want to print only the
# reliability part of the object.
print(depressionRel$rely)
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/print.reliability.Rd_%03d_medium.png", width=480, height=480)
> ### Name: print.reliability
> ### Title: Print Out Summary of Reliability Analysis
> ### Aliases: print.reliability
> ### 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$items is NULL...
>
> depressionRel <- ItemAnalysis(depressionPre)
>
> # specifies that you want to print only the
> # reliability part of the object.
> print(depressionRel$rely)
Reliability Analysis of depressionPre ScaleData object.
A spearman correlation matrix of 20 items was calculated and submitted to Reliability analysis.
The overall Cronbach's Alpha was 0.83 .
Item(s) that exhibited low correlation with the rest of the scale were:
1 and 3 .
Furthermore, deleting item(s) 1 and 3 may improve reliability.>
>
>
>
>
> dev.off()
null device
1
>