Constructs class="likert" objects to be used by the plot.likert methods.
is.likert(x)as.likert(x, ...)
# S3 method for default
as.likert(x, ...)
# S3 method for data.frame
as.likert(x, ...)
# S3 method for formula
as.likert(x, ...) ## doesn't work yet
# S3 method for ftable
as.likert(x, ...)
# S3 method for table
as.likert(x, ...)
# S3 method for matrix
as.likert(x,
ReferenceZero=NULL,
...,
rowlabel=NULL, collabel=NULL,
xlimEqualLeftRight=FALSE,
xTickLabelsPositive=TRUE,
padding=FALSE,
reverse.left=TRUE)
# S3 method for listOfNamedMatrices
as.likert(x, ...)
# S3 method for array
as.likert(x, ...)
# S3 method for likert
rev(x)
is.likertCapable(x, ...)
For the as.likert methods, a numeric object stored as a vector, matrix,
two-dimensional table, two-dimensional ftable,
two-dimensional structable (as defined in the vcd package),
or list of named matrices.
For functions is.likert and is.likertCapable, any object.
This is the only required argument.
names(dimnames(x)), where x is
the argument to the as.likert functions.
These will become the xlab and ylab of the likert plot.
other arguments. They will be ignored by
the as.likert method.
Please see discussion of this argument
in likert.
Logical. The default is FALSE. If
TRUE, then the left and right x limits are set to negative
and positive of the larger of the absolute value of the original x limits.
Logical. The default is TRUE.
If TRUE, then the tick labels on the negative side are
displayed as positive values.
padding is FALSE for
likert and TRUE for likertMosaic.
reverse.left is TRUE for likert and FALSE
for likertMosaic. likert is based on
barchart
and requires that the sequencing of negative values be reversed. likertMosiac is
based on mosaic and needs padding on left and right
to fill the rectangle implied by the convex hull of the plot.
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.
Please see likert for information on the plot for which
as.likert prepares the data.
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, http://www.jstatsoft.org/v57/i05/.
Naomi Robbins <naomi@nbr-graphs.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.
# NOT RUN {
## 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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