label_parse: ggplot2 labeller function for plotmath labels
In lgaborini/rstanBF: rstanBF computes the Bayes Factor for data in specified two-level hierarchical models
Description
Usage
Arguments
Details
Value
Examples
Description
ggplot2 labeller function for plotmath labels.
To be used in ggplot2 scale_*_ functions as the label argument.
Usage
1
Arguments
labels
character vector of labels to be parsed
Details
It is useful when breaks are plotmath-ready character vectors.
This function correctly formats them in order to be parsed and displayed as expressions.
Value
a list of expressions
Examples
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df <- data.frame(
var = c('x[1]', 'x[2]', 'x[3]', 'alpha'),
value = c(1,2,3,4)
)
library(ggplot2)
ggplot(df) +
geom_point(aes(x = var, y = value)) +
scale_x_discrete(label = label_parse)
lgaborini/rstanBF documentation built on March 10, 2021, 1:12 p.m.
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Description Usage Arguments Details Value Examples
Description
ggplot2 labeller function for plotmath labels.
To be used in ggplot2 scale_*_ functions as the label argument.
Usage
1 |
Arguments
labels |
character vector of labels to be parsed |
Details
It is useful when breaks are plotmath-ready character vectors. This function correctly formats them in order to be parsed and displayed as expressions.
Value
a list of expressions
Examples
1 2 3 4 5 6 7 8 9 10 | df <- data.frame(
var = c('x[1]', 'x[2]', 'x[3]', 'alpha'),
value = c(1,2,3,4)
)
library(ggplot2)
ggplot(df) +
geom_point(aes(x = var, y = value)) +
scale_x_discrete(label = label_parse)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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