| likert {HH} | R Documentation |
Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids.
Description
Constructs and plots diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids.
Usage
likert(x, ...)
likertplot(x, ...)
## S3 method for class 'likert'
plot(x, ...)
## S3 method for class 'formula'
plot.likert(x, data, ReferenceZero=NULL, value, levelsName="",
scales.in=NULL, ## use scales=
between=list(x=1 + (horizontal), y=.5 + 2*(!horizontal)),
auto.key.in=NULL, ## use auto.key=
panel.in=NULL, ## use panel=
horizontal=TRUE,
par.settings.in=NULL, ## use par.settings=
...,
as.percent = FALSE,
## titles
ylab= if (horizontal) {
if (length(x)==3)
deparse(x[[2]])
else
"Question"
}
else
if (as.percent != FALSE) "Percent" else "Count",
xlab= if (!horizontal) {
if (length(x)==3)
deparse(x[[2]])
else
"Question"
}
else
if (as.percent != FALSE) "Percent" else "Count",
main = x.sys.call,
## right axis
rightAxisLabels = rowSums(data.list$Nums),
rightAxis = !missing(rightAxisLabels),
ylab.right = if (rightAxis) "Row Count Totals" else NULL,
xlab.top = NULL,
right.text.cex =
if (horizontal) { ## lazy evaluation
if (!is.null(scales$y$cex)) scales$y$cex else .8
}
else
{
if (!is.null(scales$x$cex)) scales$x$cex else .8
},
## scales
xscale.components = xscale.components.top.HH,
yscale.components = yscale.components.right.HH,
xlimEqualLeftRight = FALSE,
xTickLabelsPositive = TRUE,
## row sequencing
as.table=TRUE,
positive.order=FALSE,
data.order=FALSE,
reverse=ifelse(horizontal, as.table, FALSE),
## resizePanels arguments
h.resizePanels=sapply(result$y.used.at, length),
w.resizePanels=sapply(result$x.used.at, length),
## color options
reference.line.col="gray65",
col.strip.background="gray97",
key.border.white=TRUE,
col=likertColor(Nums.attr$nlevels,
ReferenceZero=ReferenceZero,
colorFunction=colorFunction,
colorFunctionOption=colorFunctionOption),
colorFunction="diverge_hcl",
colorFunctionOption="lighter"
)
## S3 method for class 'matrix'
plot.likert(x,
positive.order=FALSE,
ylab=names(dimnames(x)[1]),
xlab=if (as.percent != FALSE) "Percent" else "Count",
main=xName,
reference.line.col="gray65",
col.strip.background="gray97",
col=likertColor(attr(x, "nlevels"),
ReferenceZero=ReferenceZero,
colorFunction=colorFunction,
colorFunctionOption=colorFunctionOption),
colorFunction="diverge_hcl",
colorFunctionOption="lighter",
as.percent=FALSE,
par.settings.in=NULL,
horizontal=TRUE,
ReferenceZero=NULL,
...,
key.border.white=TRUE,
xName=deparse(substitute(x)),
rightAxisLabels=rowSums(abs(x)),
rightAxis=!missing(rightAxisLabels),
ylab.right=if (rightAxis) "Row Count Totals" else NULL,
panel=panel.barchart,
xscale.components=xscale.components.top.HH,
yscale.components=yscale.components.right.HH,
xlimEqualLeftRight=FALSE,
xTickLabelsPositive=TRUE,
reverse=FALSE)
## Default S3 method:
plot.likert(x, ...) ## calls plot.likert.matrix
## S3 method for class 'array'
plot.likert(x,
condlevelsName=paste("names(dimnames(", xName, "))[-(1:2)]",
sep=""),
xName=deparse(substitute(x)),
main=paste("layers of", xName, "by", condlevelsName),
...)
## S3 method for class 'likert'
plot.likert(x, ...) ## See Details
## S3 method for class 'list'
plot.likert(x, ## named list of matrices, 2D tables,
## 2D ftables, or 2D structables,
## or all-numeric data.frames
condlevelsName="ListNames",
xName=deparse(substitute(x)),
main=paste("List items of", xName, "by", condlevelsName),
layout=if (length(dim.x) > 1) dim.x else {
if (horizontal) c(1, length(x)) else c(length(x), 1)},
positive.order=FALSE,
strip=!horizontal,
strip.left=horizontal,
strip.left.values=names(x),
strip.values=names(x),
strip.par=list(cex=1, lines=1),
strip.left.par=list(cex=1, lines=1),
horizontal=TRUE,
...,
rightAxisLabels=sapply(x, function(x) rowSums(abs(x)), simplify = FALSE),
rightAxis=!missing(rightAxisLabels),
resize.height.tuning=-.5,
resize.height=if (missing(layout) || length(dim.x) != 2) {
c("nrow","rowSums")
} else {
rep(1, layout[2])
},
resize.width=if (missing(layout)) {1 } else {
rep(1, layout[1])
},
box.ratio=if (
length(resize.height)==1 &&
resize.height == "rowSums") 1000 else 2,
xscale.components=xscale.components.top.HH,
yscale.components=yscale.components.right.HH)
## S3 method for class 'table'
plot.likert(x, ..., xName=deparse(substitute(x)))
## S3 method for class 'ftable'
plot.likert(x, ..., xName=deparse(substitute(x)))
## S3 method for class 'structable'
plot.likert(x, ..., xName=deparse(substitute(x)))
## S3 method for class 'data.frame'
plot.likert(x, ..., xName=deparse(substitute(x)))
xscale.components.top.HH(...)
yscale.components.right.HH(...)
Arguments
x |
For the formula method, a model formula. All terms in the
formula must be the names of columns in the data.frame argument
Otherwise, any numeric object stored as a vector, matrix, array,
data.frame, table, ftable, structable (as defined in the |
data |
For the formula method, a |
ReferenceZero |
Numeric scalar or |
value |
Name of the numeric variable containing the data when the formula method is used with the long data form. The predictor in the formula will be a factor name. The name of the predictor will be used as the title in the key. |
levelsName |
(optional) Name of the implied factor distinguishing the columns of the response variables when the formula method is used with the wide data form. This name will be used as the title in the key. |
positive.order |
If |
data.order |
|
as.percent |
When |
as.table |
Standard |
par.settings.in, scales.in, auto.key.in, panel.in |
These are placeholders
for |
ylab, xlab, ylab.right, xlab.top, main |
Standard |
right.text.cex |
The right axis, as used here for the
"Row Count Totals", has non-standard controls. It's |
between |
Standard |
col |
Vector of color names for the levels of the agreement factor.
Although the colors can be specified as an arbitrary vector of color names, for example,
|
colorFunction, colorFunctionOption |
See |
reference.line.col |
Color for reference line at zero. |
col.strip.background |
Background color for the strip labels. |
key.border.white |
Logical. If |
horizontal |
Logical, with default |
... |
other arguments. These will be passed to the |
strip.left, strip |
Logical. The default |
condlevelsName, strip.left.values, strip.values, strip.par, strip.left.par, layout |
Arguments which will be passed to
|
xName |
Name of the argument in its original environment. |
rightAxis |
logical. Should right axis values be displayed?
Defaults to |
rightAxisLabels |
Values to be displayed on the right axis. The
default values are the row totals. These are sensible for
tables of counts. When the data is rescaled to percents by the
|
resize.height.tuning |
Tuning parameter used to adjust the space
between bars as specified by the |
h.resizePanels, resize.height |
Either character scalar or numeric vector.
If |
w.resizePanels, resize.width |
Numeric vector. The panel widths are proportional to the numbers in the argument. |
box.ratio |
If there are more than one bar in any panel, then
this defaults to the |
panel |
panel function eventually to be used by |
xscale.components, yscale.components |
See
|
xlimEqualLeftRight |
Logical. The default is |
xTickLabelsPositive |
Logical. The default is |
reverse |
Logical. The default is |
Details
The counts (or percentages) of respondents on each row who agree with
the statement are shown to the right of the zero line; the counts (or
percentages) who disagree are shown to the left. The counts (or
percentages) for respondents who neither agree nor disagree are split
down the middle and are shown in a neutral color. The neutral category
is omitted when the scale has an even number of choices.
It is difficult to compare
lengths without a common baseline. In this situation, we are primarily
interested in the total count (or percent) to the right or left of the
zero line; the breakdown into strongly or not is of lesser interest so
that the primary comparisons do have a common baseline of zero. The
rows within each panel are displayed in their original order by
default. If the argument positive.order=TRUE is specified, the rows
are ordered by the counts (or percentages) who agree.
Diverging stacked barcharts are also called "two-directional stacked barcharts". Some authors use the term "floating barcharts" for vertical diverging stacked barcharts and the term "sliding barcharts" for horizontal diverging stacked barcharts.
All items in a list of named two-dimensional objects must have the
same number of columns. If the items have different column names, the
column names of the last item in the list will be used in the key. If
the dimnames of the matrices are named, the names will be used in the
plot. It is possible to produce a likert plot with a list of objects
with different numbers of columns, but not with the
plot.likert.list method. These must be done manually by using
the ResizeEtc function on each of the individual likert
plots. The difficulty is that the legend is based on the last item in
the list and will have the wrong number of values for some of the
panels.
A single data.frame x will be plotted as data.matrix(x[sapply(x, is.numeric)]).
The subscripting on the class of the columns is there to remove
columns of characters (which would otherwise be coerced to NA) and
factor columns (which would otherwise be coerced to integers).
A data.frame with only numeric columns will work in a named list.
A list of data.frame with factors or characters will be plotted by
automatically removing columns that are not numeric.
ftable and structable arguments x will be plotted as
as.table(x). This changes the display sequence.
Therefore the user will probably want to use aperm on the
ftable or structable before using plot.likert.
The likert method is designed for use with "likert"
objects created with the independent likert package. It is not
recommended that the HH package and the likert package
both be loaded at the same time, as they have incompatible usage of
the exported function names likert and plot.likert. If
the likert package is installed, it can be run without loading
by using the function calls likert::likert() and
likert:::plot.likert().
Value
A "trellis" object containing the plot. The plot will be
automatically displayed unless the result is assigned to an object.
Note
The current version of the likert function uses the default diverging
palette from diverge_hcl as the default.
Previous versions used the RColorBrewer palette "RdBu" as the default
color palette. The previous color palette is still available with an explicit
call to likertColorBrewer, for example
col=likertColorBrewer(nc, ReferenceZero=ReferenceZero,
BrewerPaletteName="RdBu", middle.color="gray90")
Note
Ann Liu-Ferrara was a beta tester for the shiny app.
Note
- Documentation note:
-
Most of the plots drawn by
plot.likerthave a long left-axis tick label. They therefore require a wider window than R's default of a nominal 7in\times7in window. The comments with the examples suggest aesthetic window sizes. - Technical note:
-
There are three (almost) equivalent calling sequences for likert plots.
-
likert(x) ## recommended
likertis an alias forplot.likert(). -
plot.likert(x)
plot.likertis both a method ofplotfor"likert"objects, and a generic function in its own right. There are methods ofplot.likertfor"formula","matrix","array","table", and several other classes of input objects. -
plot(as.likert(x))
Bothlikertandplot.likertwork by calling theas.likertfunction on their argumentx. Onceas.likerthas converted its argument to a"likert"object, the method dispatch technology for the genericplot.likertis in play. The user can make the explicit callas.likert(x)to see what a"likert"object looks like, but is very unlikely to want to look a second time.
-
Author(s)
Richard M. Heiberger, with contributions from Naomi B. Robbins <naomi@nbr-graphs.com>.
Maintainer: Richard M. Heiberger <rmh@temple.edu>
References
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.
Richard Heiberger and Naomi Robbins (2011), "Alternative to Charles Blow's Figure in \"Newt's War on Poor Children\"", Forbes OnLine, December 20, 2011. https://www.forbes.com/sites/naomirobbins/2011/12/20/alternative-to-charles-blows-figure-in-newts-war-on-poor-children-2/
Naomi Robbins (2011), "Visualizing Data: Challenges to
Presentation of Quality Graphics—and Solutions", Amstat News,
September 2011, 28–30.
http://magazine.amstat.org/blog/2011/09/01/visualizingdata/
Luo, Amy and Tim Keyes (2005). "Second Set of Results in from the Career Track Member Survey," Amstat News. Arlington, VA: American Statistical Association.
See Also
barchart, ResizeEtc,
as.likert,
as.matrix.listOfNamedMatrices,
pyramidLikert
Examples
## See file HH/demo/likert-paper.r for a complete set of examples using
## the formula method into the underlying lattice:::barchart plotting
## technology. See file HH/demo/likert-paper-noFormula.r for the same
## set of examples using the matrix and list of matrices methods. See
## file HH/demo/likertMosaic-paper.r for the same set of examples using
## the still experimental functions built on the vcd:::mosaic as the
## underlying plotting technology
data(ProfChal) ## ProfChal is a data.frame.
## See below for discussion of the dataset.
## Count plot
likert(Question ~ . , ProfChal[ProfChal$Subtable=="Employment sector",],
main='Is your job professionally challenging?',
ylab=NULL,
sub="This plot looks better in a 9in x 4in window.")
## Percent plot calculated automatically from Count data
likert(Question ~ . , ProfChal[ProfChal$Subtable=="Employment sector",],
as.percent=TRUE,
main='Is your job professionally challenging?',
ylab=NULL,
sub="This plot looks better in a 9in x 4in window.")
## formula method
data(NZScienceTeaching)
likert(Question ~ . | Subtable, data=NZScienceTeaching,
ylab=NULL,
scales=list(y=list(relation="free")), layout=c(1,2))
## Not run:
## formula notation with expanded right-hand-side
likert(Question ~
"Strongly disagree" + Disagree + Neutral + Agree + "Strongly agree" |
Subtable, data=NZScienceTeaching,
ylab=NULL,
scales=list(y=list(relation="free")), layout=c(1,2))
## End(Not run)
## Not run:
## formula notation with long data arrangement
NZScienceTeachingLong <- reshape2::melt(NZScienceTeaching,
id.vars=c("Question", "Subtable"))
names(NZScienceTeachingLong)[3] <- "Agreement"
head(NZScienceTeachingLong)
likert(Question ~ Agreement | Subtable, value="value", data=NZScienceTeachingLong,
ylab=NULL,
scales=list(y=list(relation="free")), layout=c(1,2))
## End(Not run)
## Examples with higher-dimensional arrays.
tmp3 <- array(1:24, dim=c(2,3,4),
dimnames=list(A=letters[1:2], B=LETTERS[3:5], C=letters[6:9]))
## positive.order=FALSE is the default. With arrays
## the rownames within each item of an array are identical.
## likert(tmp3)
likert(tmp3, layout=c(1,4))
likert(tmp3, layout=c(2,2), resize.height=c(2,1), resize.width=c(3,4))
## plot.likert interprets vectors as single-row matrices.
## http://survey.cvent.com/blog/customer-insights-2/box-scores-are-not-just-for-baseball
Responses <- c(15, 13, 12, 25, 35)
names(Responses) <- c("Strongly Disagree", "Disagree", "No Opinion",
"Agree", "Strongly Agree")
## Not run:
likert(Responses, main="Retail-R-Us offers the best everyday prices.",
sub="This plot looks better in a 9in x 2.6in window.")
## End(Not run)
## reverse=TRUE is needed for a single-column key with
## horizontal=FALSE and with space="right"
likert(Responses, horizontal=FALSE,
aspect=1.5,
main="Retail-R-Us offers the best everyday prices.",
auto.key=list(space="right", columns=1,
reverse=TRUE, padding.text=2),
sub="This plot looks better in a 4in x 3in window.")
## Not run:
## Since age is always positive and increases in a single direction,
## this example uses colors from a sequential palette for the age
## groups. In this example we do not use a diverging palette that is
## appropriate when groups are defined by a characteristic, such as
## strength of agreement or disagreement, that can increase in two directions.
## Initially we use the default Blue palette in the sequential_hcl function.
data(AudiencePercent)
likert(AudiencePercent,
auto.key=list(between=1, between.columns=2),
xlab=paste("Percentage of audience younger than 35 (left of zero)",
"and older than 35 (right of zero)"),
main="Target Audience",
col=rev(colorspace::sequential_hcl(4)),
sub="This plot looks better in a 7in x 3.5in window.")
## The really light colors in the previous example are too light.
## Therefore we use the col argument directly. We chose to use an
## intermediate set of Blue colors selected from a longer Blue palette.
likert(AudiencePercent,
positive.order=TRUE,
auto.key=list(between=1, between.columns=2),
xlab=paste("Percentage of audience younger than 35",
"(left of zero) and older than 35 (right of zero)"),
main="Brand A has the most even distribution of ages",
col=colorspace::sequential_hcl(11)[5:2],
scales=list(x=list(at=seq(-90,60,10),
labels=as.vector(rbind("",seq(-80,60,20))))),
sub="This plot looks better in a 7in x 3.5in window.")
## End(Not run)
## Not run:
## See the ?as.pyramidLikert help page for these examples
## Population Pyramid
data(USAge.table)
USA79 <- USAge.table[75:1, 2:1, "1979"]/1000000
PL <- likert(USA79,
main="Population of United States 1979 (ages 0-74)",
xlab="Count in Millions",
ylab="Age",
scales=list(
y=list(
limits=c(0,77),
at=seq(1,76,5),
labels=seq(0,75,5),
tck=.5))
)
PL
as.pyramidLikert(PL)
likert(USAge.table[75:1, 2:1, c("1939","1959","1979")]/1000000,
main="Population of United States 1939,1959,1979 (ages 0-74)",
sub="Look for the Baby Boom",
xlab="Count in Millions",
ylab="Age",
scales=list(
y=list(
limits=c(0,77),
at=seq(1,76,5),
labels=seq(0,75,5),
tck=.5)),
strip.left=FALSE, strip=TRUE,
layout=c(3,1), between=list(x=.5))
## End(Not run)
Pop <- rbind(a=c(3,2,4,9), b=c(6,10,12,10))
dimnames(Pop)[[2]] <- c("Very Low", "Low", "High", "Very High")
likert(as.listOfNamedMatrices(Pop),
as.percent=TRUE,
resize.height="rowSums",
strip=FALSE,
strip.left=FALSE,
main=paste("Area and Height are proportional to 'Row Count Totals'.",
"Width is exactly 100%.", sep="\n"))
## Professional Challenges example.
##
## The data for this example is a list of related likert scales, with
## each item in the list consisting of differently named rows. The data
## is from a questionnaire analyzed in a recent Amstat News article.
## The study population was partitioned in several ways. Data from one
## of the partitions (Employment sector) was used in the first example
## in this help file. The examples here show various options for
## displaying all partitions on the same plot.
##
data(ProfChal)
levels(ProfChal$Subtable)[6] <- "Prof Recog" ## reduce length of label
## 1. Plot counts with rows in each panel sorted by positive counts.
##
## Not run:
likert(Question ~ . | Subtable, ProfChal,
positive.order=TRUE,
main="This works, but needs more specified arguments to look good")
likert(Question ~ . | Subtable, ProfChal,
scales=list(y=list(relation="free")), layout=c(1,6),
positive.order=TRUE,
between=list(y=0),
strip=FALSE, strip.left=strip.custom(bg="gray97"),
par.strip.text=list(cex=.6, lines=5),
main="Is your job professionally challenging?",
ylab=NULL,
sub="This looks better in a 10inx7in window")
## End(Not run)
ProfChalCountsPlot <-
likert(Question ~ . | Subtable, ProfChal,
scales=list(y=list(relation="free")), layout=c(1,6),
positive.order=TRUE,
box.width=unit(.4,"cm"),
between=list(y=0),
strip=FALSE, strip.left=strip.custom(bg="gray97"),
par.strip.text=list(cex=.6, lines=5),
main="Is your job professionally challenging?",
rightAxis=TRUE, ## display Row Count Totals
ylab=NULL,
sub="This looks better in a 10inx7in window")
ProfChalCountsPlot
## Not run:
## 2. Plot percents with rows in each panel sorted by positive percents.
## This is a different sequence than the counts. Row Count Totals are
## displayed on the right axis.
ProfChalPctPlot <-
likert(Question ~ . | Subtable, ProfChal,
as.percent=TRUE, ## implies display Row Count Totals
scales=list(y=list(relation="free")), layout=c(1,6),
positive.order=TRUE,
box.width=unit(.4,"cm"),
between=list(y=0),
strip=FALSE, strip.left=strip.custom(bg="gray97"),
par.strip.text=list(cex=.6, lines=5),
main="Is your job professionally challenging?",
rightAxis=TRUE, ## display Row Count Totals
ylab=NULL,
sub="This looks better in a 10inx7in window")
ProfChalPctPlot
## 3. Putting both percents and counts on the same plot, both in
## the order of the positive percents.
LikertPercentCountColumns(Question ~ . | Subtable, ProfChal,
layout=c(1,6), scales=list(y=list(relation="free")),
ylab=NULL, between=list(y=0),
strip.left=strip.custom(bg="gray97"), strip=FALSE,
par.strip.text=list(cex=.7),
positive.order=TRUE,
main="Is your job professionally challenging?")
## Restore original name
## levels(ProfChal$Subtable)[6] <- "Attitude\ntoward\nProfessional\nRecognition"
## End(Not run)
## Not run:
## 4. All possible forms of formula for the likert formula method:
data(ProfChal)
row.names(ProfChal) <- abbreviate(ProfChal$Question, 8)
likert( Question ~ . | Subtable,
data=ProfChal, scales=list(y=list(relation="free")), layout=c(1,6))
likert( Question ~
"Strongly Disagree" + Disagree + "No Opinion" + Agree + "Strongly Agree" | Subtable,
data=ProfChal, scales=list(y=list(relation="free")), layout=c(1,6))
likert( Question ~ . ,
data=ProfChal)
likert( Question ~ "Strongly Disagree" + Disagree + "No Opinion" + Agree + "Strongly Agree",
data=ProfChal)
likert( ~ . | Subtable,
data=ProfChal, scales=list(y=list(relation="free")), layout=c(1,6))
likert( ~ "Strongly Disagree" + Disagree + "No Opinion" + Agree + "Strongly Agree" | Subtable,
data=ProfChal, scales=list(y=list(relation="free")), layout=c(1,6))
likert( ~ . ,
data=ProfChal)
likert( ~ "Strongly Disagree" + Disagree + "No Opinion" + Agree + "Strongly Agree",
data=ProfChal)
## End(Not run)
## Not run:
## 5. putting the x-axis tick labels on top for horizontal plots
## putting the y-axis tick lables on right for vertical plots
##
## This non-standard specification is a consequence of using the right
## axis labels for different values than appear on the left axis labels
## with horizontal plots, and using the top axis labels for different
## values than appear on the bottom axis labels with vertical plots.
## Percent plot calculated automatically from Count data
tmph <-
likert(Question ~ . , ProfChal[ProfChal$Subtable=="Employment sector",],
as.percent=TRUE,
main='Is your job professionally challenging?',
ylab=NULL,
sub="This plot looks better in a 9in x 4in window.")
tmph$x.scales$labels
names(tmph$x.scales$labels) <- tmph$x.scales$labels
update(tmph, scales=list(x=list(alternating=2)), xlab=NULL, xlab.top="Percent")
tmpv <-
likert(Question ~ . , ProfChal[ProfChal$Subtable=="Employment sector",],
as.percent=TRUE,
main='Is your job professionally challenging?',
sub="likert plots with long Question names look better horizontally.
With effort they can be made to look adequate vertically.",
horizontal=FALSE,
scales=list(y=list(alternating=2), x=list(rot=c(90, 0))),
ylab.right="Percent",
ylab=NULL,
xlab.top="Column Count Totals",
par.settings=list(
layout.heights=list(key.axis.padding=5),
layout.widths=list(key.right=1.5, right.padding=0))
)
tmpv$y.scales$labels
names(tmpv$y.scales$labels) <- tmpv$y.scales$labels
tmpv
tmpv$x.limits <- abbreviate(tmpv$x.limits,8)
tmpv$x.scales$rot=c(0, 0)
tmpv
## End(Not run)
## Not run:
## illustration that a border on the bars is misleading when it splits a bar.
tmp <- data.frame(a=1, b=2, c=3)
likert(~ . , data=tmp, ReferenceZero=2, main="No border. OK.")
likert(~ . , data=tmp, ReferenceZero=2, border="white",
main="Border. Misleading split of central bar.")
likert(~ . , data=tmp, ReferenceZero=2.5, main="No border. OK.")
likert(~ . , data=tmp, ReferenceZero=2.5, border="white", main="Border. OK.")
## End(Not run)
## Not run:
## run the shiny app
if (interactive()) shiny::runApp(system.file("shiny/likert", package="HH"))
## End(Not run)
## The ProfChal data is done again with explicit use of ResizeEtc
## in ?HH:::ResizeEtc