Selection of colors for Likert plots.
ColorSet(nc, ReferenceZero=NULL)
likertColor(nc, ReferenceZero=NULL,
colorFunction=c("diverge_hcl","sequential_hcl"),
colorFunctionOption=c("lighter","flatter","default"),
colorFunctionArgs=
likertColorFunctionArgs[[colorFunctionOption, colorFunction]],
...)
likertColorBrewer(nc, ReferenceZero=NULL,
BrewerPaletteName="RdBu", middle.color="gray90")brewer.pal.likert(n, name, middle.color)
Number of colors in the palette.
If there are more levels than RColorBrewer
normally handles, we
automatically interpolate with
colorRampPalette
.
Numeric scalar or NULL
. The position in
the range
seq(0, attr(x, "nlevels")+.5, .5)
where the
reference line at 0 will be placed. attr(x, "nlevels")
is the
number of columns of the original argument x
, before it
has been coerced to a "likert"
object. The default
NULL
corresponds to the middle level if there are an odd
number of levels, and to half-way between the two middle levels if
there are an even number of levels. This argument is used when the
number of positive levels and the number of negative levels are not
the same. For example, with 4 levels
c("Disagee", "Neutral", "Weak Agree", "Strong Agree")
, the
argument would be specified ReferenceZero=2
indicating that
the graphical split would be in the middle of the second group with
label "Neutral"
.
Function name from the colorspace package,
either "diverge_hcl"
or
"sequential_hcl"
.
Name of a list item defined inside the
likertColor
function. The item contains a list of parameters to the function
identified in the colorFunction
argument.
list of arguments to the colorspace
function.
The default selects the values by indexing into a list defined in the
likertColor
function using the values of the two arguments
colorFunction
and colorFunctionOption
Other arguments are ignored.
RColorBrewer
palette names. We default to the diverging palette RdBu
.
Diverging palettes are usually appropriate for two-directional
scales (Agree--Disagree). Sequential palettes are often appropriate
for one-directional scales (Age Ranges). Qualitative palettes are
usually not appropriate for likert plots.
Darker middle color than the default
"#F7F7F7"
in the RdBu
scheme.
ColorSet
returns a vector of integers, one per each level,
corresponding to the strength of the levels from Disagree to Agree.
For balanced levels, such as
c("Disagree Strongly", "Disagree Weakly", "Agree
Weakly", "Agree Strongly")
,
corresponding to nc=4,
ReferenceZero=2.5
, it returns -2 -1 1 2
.
For unbalanced levels, such as c("Disagree", "Neutral", "Agree
Weakly", "Agree Strongly")
, corresponding to nc=4,
ReferenceZero=2
, it returns -1 0 1 2
.
likertColor
returns a subset of a palette constructed by
either diverge_hcl
or
sequential_hcl
in the
colorspace package.
The subset corresponds to the levels specified by ColorSet
.
brewer.pal.likert
returns a
RColorBrewer
palette.
likertColorBrewer
returns a subset of a palette constructed by
brewer.pal.likert
.
The subset corresponds to the levels specified by ColorSet
.
These are support functions for the plot.likert
function.
Please see plot.likert
for details.
likertColor
uses by default the diverge_hcl
diverging palette defined by the argument
colorFunctionOption="lighter"
.
likertColorBrewer
by default uses the "RdBu"
diverging palette from RColorBrewer
.
# NOT RUN {
brewer.pal.likert(4, "RdBu")
brewer.pal.likert(5, "RdBu")
ColorSet(4)
ColorSet(4, 2)
likertColor(4)
likertColor(4, 2.5) ## same as above
likertColor(4, 2) ## one negative level and two positive levels: default
likertColor(5, 3)[-2] ## one negative level and two positive levels: stronger negative
# }
# NOT RUN {
## Examples illustrating the six predefined likertColor palettes, and how
## to define additional hcl color palettes for use with the likert functions.
data(ProfDiv)
ProfDiv.df <- data.frame(ProfDiv)
likert( ~ . , ProfDiv.df, horizontal=FALSE, positive.order=FALSE)
likert( ~ . , ProfDiv.df, horizontal=FALSE, positive.order=FALSE,
colorFunctionOption="default")
likert( ~ . , ProfDiv.df, horizontal=FALSE, positive.order=FALSE,
colorFunctionOption="flatter")
likert( ~ . , ProfDiv.df, horizontal=FALSE, positive.order=FALSE,
colorFunction="sequential_hcl")
likert( ~ . , ProfDiv.df, horizontal=FALSE, positive.order=FALSE,
colorFunction="sequential_hcl", colorFunctionOption="default")
likert( ~ . , ProfDiv.df, horizontal=FALSE, positive.order=FALSE,
colorFunction="sequential_hcl", colorFunctionOption="flatter")
likert(ProfDiv, horizontal=FALSE, positive.order=FALSE)
likert(ProfDiv, horizontal=FALSE, positive.order=FALSE,
colorFunctionOption="default")
likert(ProfDiv, horizontal=FALSE, positive.order=FALSE,
colorFunctionOption="flatter")
likert(ProfDiv, horizontal=FALSE, positive.order=FALSE,
colorFunction="sequential_hcl")
likert(ProfDiv, horizontal=FALSE, positive.order=FALSE,
colorFunction="sequential_hcl", colorFunctionOption="default")
likert(ProfDiv, horizontal=FALSE, positive.order=FALSE,
colorFunction="sequential_hcl", colorFunctionOption="flatter")
likertMosaic(ProfDiv.df)
likertMosaic(ProfDiv.df, colorFunctionOption="default")
likertMosaic(ProfDiv.df, colorFunctionOption="flatter")
likertMosaic(ProfDiv.df, colorFunction="sequential_hcl")
likertMosaic(ProfDiv.df, colorFunction="sequential_hcl",
colorFunctionOption="default")
likertMosaic(ProfDiv.df, colorFunction="sequential_hcl",
colorFunctionOption="flatter")
## specify an hcl palette for use with the likert functions.
BlueOrange <- likertColor(nc=4, ReferenceZero=NULL,
colorFunction="diverge_hcl",
colorFunctionArgs=
list(h=c(246, 40), c=96, l=c(65,90), power=1.5))
likert( ~ . , ProfDiv.df, horizontal=FALSE, positive.order=FALSE, col=BlueOrange)
# }
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