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Avoid outdated dplyr functions #9

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Avoid outdated dplyr functions #9

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8 changes: 1 addition & 7 deletions R/buildMatrix.r
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Original file line number Diff line number Diff line change
Expand Up @@ -81,13 +81,7 @@ build.x <- function(formula, data, contrasts=TRUE, sparse=FALSE)
{
# convert to factor
# data[, charIndex] <- plyr::catcolwise(as.factor)(data[, charIndex, drop=FALSE])
if(utils::packageVersion('dplyr') <= '0.5.0')
{
data <- dplyr::mutate_at(data, .cols=charIndex, as.factor)
} else if(utils::packageVersion('dplyr') >= '0.6.0')
{
data <- dplyr::mutate_at(data, .vars=charIndex, as.factor)
}
data <- dplyr::mutate(data, dplyr::across(dplyr::all_of(charIndex), as.factor))
## now all factors or characters are at least factors (and nothing extraneous was done) and only the appropriate columns will be put into the contrasts argument
}

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3 changes: 1 addition & 2 deletions R/impute.r
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Expand Up @@ -82,8 +82,7 @@ simple.impute.default <- function(x, fun=median, ...)
#'
simple.impute.data.frame <- function(x, fun=stats::median, ...)
{
. <- NULL
dplyr::mutate_at(x, .cols=names(x), .funs=~simple.impute(., fun=fun))
dplyr::mutate(x, dplyr::across(dplyr::everything(), ~simple.impute(.x, fun=fun)))
}

#' @title simple.impute.tbl_df
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