Description Usage Arguments Details Value Author(s) Examples
Interfaces to vcd
functions that can be used
in a pipeline implemented by magrittr
.
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data |
data frame, tibble, list, ... |
... |
Other arguments passed to the corresponding interfaced function. |
Interfaces call their corresponding interfaced function.
Object returned by interfaced function.
Roberto Bertolusso
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library(intubate)
library(magrittr)
library(vcd)
## ntbt_agreementplot: Bangdiwala's Observer Agreement Chart
## Original function to interface
agreementplot(Freq ~ Gender + Admit, as.data.frame(UCBAdmissions))
## The interface puts data as first parameter
ntbt_agreementplot(as.data.frame(UCBAdmissions), Freq ~ Gender + Admit)
## so it can be used easily in a pipeline.
as.data.frame(UCBAdmissions) %>%
ntbt_agreementplot(Freq ~ Gender + Admit)
## ntbt_assoc: Extended Association Plots
## Original function to interface
assoc(Freq ~ Gender + Admit, data = as.data.frame(UCBAdmissions))
## The interface puts data as first parameter
ntbt_assoc(as.data.frame(UCBAdmissions), Freq ~ Gender + Admit)
## so it can be used easily in a pipeline.
as.data.frame(UCBAdmissions) %>%
ntbt_assoc(Freq ~ Gender + Admit)
## ntbt_cd_plot: Conditional Density Plots
data("Arthritis")
## Original function to interface
cd_plot(Improved ~ Age, data = Arthritis)
## The interface puts data as first parameter
ntbt_cd_plot(Arthritis, Improved ~ Age)
## so it can be used easily in a pipeline.
Arthritis %>%
ntbt_cd_plot(Improved ~ Age)
## ntbt_cotabplot: Coplot for Contingency Tables
## Original function to interface
cotabplot(~ Admit + Gender | Dept, data = UCBAdmissions)
## The interface puts data as first parameter
ntbt_cotabplot(UCBAdmissions, ~ Admit + Gender | Dept)
## so it can be used easily in a pipeline.
UCBAdmissions %>%
ntbt_cotabplot(~ Admit + Gender | Dept)
## ntbt_loddsratio: Calculate Generalized Log Odds Ratios for Frequency Tables
data(Punishment, package = "vcd")
## Original function to interface
loddsratio(Freq ~ memory + attitude | age + education, data = Punishment)
## The interface puts data as first parameter
ntbt_loddsratio(Punishment, Freq ~ memory + attitude | age + education)
## so it can be used easily in a pipeline.
Punishment %>%
ntbt_loddsratio(Freq ~ memory + attitude | age + education)
## ntbt_mosaic: Extended Mosaic Plots
library(MASS)
data("Titanic")
mosaic(Titanic)
## Original function to interface
mosaic(~ Sex + Age + Survived, data = Titanic,
main = "Survival on the Titanic", shade = TRUE, legend = TRUE)
## The interface puts data as first parameter
ntbt_mosaic(Titanic, ~ Sex + Age + Survived,
main = "Survival on the Titanic", shade = TRUE, legend = TRUE)
## so it can be used easily in a pipeline.
Titanic %>%
ntbt_mosaic(~ Sex + Age + Survived,
main = "Survival on the Titanic", shade = TRUE, legend = TRUE)
## ntbt_sieve: Extended Sieve Plots
data("VisualAcuity")
## Original function to interface
sieve(Freq ~ right + left, data = VisualAcuity)
## The interface puts data as first parameter
ntbt_sieve(VisualAcuity, Freq ~ right + left)
## so it can be used easily in a pipeline.
VisualAcuity %>%
ntbt_sieve(Freq ~ right + left)
## ntbt_spine: Spine Plots and Spinograms
data("Arthritis")
## Original function to interface
spine(Improved ~ Treatment, data = Arthritis)
## The interface puts data as first parameter
ntbt_spine(Arthritis, Improved ~ Treatment)
## so it can be used easily in a pipeline.
Arthritis %>%
ntbt_spine(Improved ~ Treatment)
## ntbt_structable: Structured Contingency Tables
## Original function to interface
structable(Sex + Class ~ Survived + Age, data = Titanic)
## The interface puts data as first parameter
ntbt_structable(Titanic, Sex + Class ~ Survived + Age)
## so it can be used easily in a pipeline.
Titanic %>%
ntbt_structable(Sex + Class ~ Survived + Age)
## End(Not run)
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