pipe: Pipe
In data-edu/tidyLPA: Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software
%>% R Documentation
Pipe
Description
tidyLPA suggests using the pipe operator, %>%, from the magrittr
package (imported here from the dplyr package).
Arguments
lhs, rhs
An object and a function to apply to it
Examples
# Instead of
subset(iris, select = c("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width"))
# you can write
iris %>%
subset(select = c("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width"))
data-edu/tidyLPA documentation built on Feb. 24, 2024, 10:04 p.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| %>% | R Documentation |
Pipe
Description
tidyLPA suggests using the pipe operator, %>%, from the magrittr
package (imported here from the dplyr package).
Arguments
lhs, rhs |
An object and a function to apply to it |
Examples
# Instead of
subset(iris, select = c("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width"))
# you can write
iris %>%
subset(select = c("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width"))
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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