likert: Analyze Likert type items.

Description Usage Arguments Details Value See Also Examples

View source: R/likert.R

Description

This function will provide various statistics about a set of likert items. The resulting object will have the following items:

Usage

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likert(items, summary, grouping = NULL, factors = NULL, importance,
  nlevels = length(levels(items[, 1])))

Arguments

items

data frame containing the likert based items. The variables in the data frame should be factors.

summary

a pre-summarized data frame. The first column must be the items and the remaining columns are the levels (e.g. strongly disagree, disagree, etc).

grouping

(optional) should the results be summarized by the given grouping variable.

factors

a vector with length(factors) == ncol(items) defining which factor each column belongs to. The values correspond to the factor label.

importance

a data frame of the same dimensions as items containing an importance rating for each item. The order of columns should match and the names from items will be used.

nlevels

number of possible levels. Only necessary if there are missing levels.

Details

Value

a likert class with the following elements: results, items, grouping, nlevels, and summary.

See Also

plot.likert

summary.likert

Examples

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data(pisaitems)
items29 <- pisaitems[,substr(names(pisaitems), 1,5) == 'ST25Q']
names(items29) <- c("Magazines", "Comic books", "Fiction", 
                   "Non-fiction books", "Newspapers")
l29 <- likert(items29)
summary(l29)
plot(l29)

Example output

Loading required package: ggplot2
Loading required package: xtable
               Item      low  neutral     high     mean       sd
1         Magazines 30.21689 21.33091 48.45219 3.254813 1.245086
5        Newspapers 37.29377 15.72688 46.97935 3.140282 1.442299
3           Fiction 41.77380 19.61739 38.60882 2.961111 1.342667
2       Comic books 62.43096 15.78368 21.78536 2.298768 1.292631
4 Non-fiction books 61.42466 19.55493 19.02042 2.322898 1.199176

likert documentation built on May 30, 2017, 2:42 a.m.