as.likert  R Documentation 
Constructs class="likert" objects to be used by the plot.likert methods.
is.likert(x) as.likert(x, ...) ## Default S3 method: as.likert(x, ...) ## S3 method for class 'data.frame' as.likert(x, ...) ## S3 method for class 'formula' as.likert(x, ...) ## doesn't work yet ## S3 method for class 'ftable' as.likert(x, ...) ## S3 method for class 'table' as.likert(x, ...) ## S3 method for class 'matrix' as.likert(x, ReferenceZero=NULL, ..., rowlabel=NULL, collabel=NULL, xlimEqualLeftRight=FALSE, xTickLabelsPositive=TRUE, padding=FALSE, reverse.left=TRUE) ## S3 method for class 'listOfNamedMatrices' as.likert(x, ...) ## S3 method for class 'array' as.likert(x, ...) ## S3 method for class 'likert' rev(x) is.likertCapable(x, ...)
x 
For the 
rowlabel, collabel 

... 
other arguments. They will be ignored by
the 
ReferenceZero 
Please see discussion of this argument
in 
xlimEqualLeftRight 
Logical. The default is 
xTickLabelsPositive 
Logical. The default is 
padding, reverse.left 

Please see likert
for information on the plot for which
as.likert
prepares the data.
For the as.likert
methods, a likert
object, which is
a matrix with additional attributes that are needed to make the
barchart
method used by the plot.likert
methods
work with the data. Columns for respondents who
disagree have negated values.
Any NA
values in the argument x
are changed to 0
.
The column of the original data for respondents who
neither agree nor disagree is split into two columns, each containing
halved values—one positive and one negative.
Negative columns come first in the sequence of "No Opinion"(negative)–"Strongly
Disagree",
followed by "No Opinion"(positive)–"Strongly Agree".
There are four
attributes:
"even.col"
indicating whether there were originally an even
number of columns, "n.levels"
the original number of levels,
"levels"
the original levels in the original order, "positive.order"
The sequence in which to display the rows in order to make the right
hand sides progress with high values on top.
is.likert
returns a TRUE
or FALSE
value.
is.likertCapable
returns a TRUE
or FALSE
value
if the argument can used as an argument to one of the plot.likert
methods.
Richard M. Heiberger <rmh@temple.edu>
Richard M. Heiberger, Naomi B. Robbins (2014)., "Design of Diverging Stacked Bar Charts for Likert Scales and Other Applications", Journal of Statistical Software, 57(5), 1–32, doi: 10.18637/jss.v057.i05.
Naomi Robbins <naomi@nbrgraphs.com>, "Visualizing Data: Challenges to Presentation of Quality Graphics—and Solutions", Amstat News, September 2011, 28–30.
Naomi B. Robbins and Richard M. Heiberger (2011). Plotting Likert and Other Rating Scales. In JSM Proceedings, Section on Survey Research Methods. Alexandria, VA: American Statistical Association.
Luo, Amy and Tim Keyes (2005). "Second Set of Results in from the Career Track Member Survey," Amstat News. Arlington, VA: American Statistical Association.
likert
## Please see ?likert to see these functions used in context. tmp2 < array(1:12, dim=c(3,4), dimnames=list(B=LETTERS[3:5], C=letters[6:9])) as.likert(tmp2) ## even number of levels. is.likert(tmp2) is.likert(as.likert(tmp2))
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