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examples edit

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dr. M.S. (Matthijs) Berends 2018-03-14 09:58:58 +01:00
parent 46db3f7b13
commit 6c67c8f6c1
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3 changed files with 4 additions and 28 deletions

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@ -28,15 +28,9 @@
#' rsi_data <- as.rsi(c(rep("S", 474), rep("I", 36), rep("R", 370))) #' rsi_data <- as.rsi(c(rep("S", 474), rep("I", 36), rep("R", 370)))
#' rsi_data <- as.rsi(c(rep("S", 474), rep("I", 36), rep("R", 370), "A", "B", "C")) #' rsi_data <- as.rsi(c(rep("S", 474), rep("I", 36), rep("R", 370), "A", "B", "C"))
#' is.rsi(rsi_data) #' is.rsi(rsi_data)
#'
#' plot(rsi_data) # for percentages #' plot(rsi_data) # for percentages
#' barplot(rsi_data) # for frequencies #' barplot(rsi_data) # for frequencies
#'
#' \donttest{
#' library(dplyr)
#' tbl %>%
#' mutate_at(vars(ends_with("_rsi")), as.rsi)
#' sapply(mic_data, is.rsi)
#' }
as.rsi <- function(x) { as.rsi <- function(x) {
if (is.rsi(x)) { if (is.rsi(x)) {
x x
@ -201,15 +195,9 @@ barplot.rsi <- function(height, ...) {
#' @examples #' @examples
#' mic_data <- as.mic(c(">=32", "1.0", "1", "1.00", 8, "<=0.128", "8", "16", "16")) #' mic_data <- as.mic(c(">=32", "1.0", "1", "1.00", 8, "<=0.128", "8", "16", "16"))
#' is.mic(mic_data) #' is.mic(mic_data)
#'
#' plot(mic_data) #' plot(mic_data)
#' barplot(mic_data) #' barplot(mic_data)
#'
#' \donttest{
#' library(dplyr)
#' tbl %>%
#' mutate_at(vars(ends_with("_mic")), as.mic)
#' sapply(mic_data, is.mic)
#' }
as.mic <- function(x, na.rm = FALSE) { as.mic <- function(x, na.rm = FALSE) {
if (is.mic(x)) { if (is.mic(x)) {
x x

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@ -23,13 +23,7 @@ This transforms a vector to a new class\code{mic}, which is an ordered factor wi
\examples{ \examples{
mic_data <- as.mic(c(">=32", "1.0", "1", "1.00", 8, "<=0.128", "8", "16", "16")) mic_data <- as.mic(c(">=32", "1.0", "1", "1.00", 8, "<=0.128", "8", "16", "16"))
is.mic(mic_data) is.mic(mic_data)
plot(mic_data) plot(mic_data)
barplot(mic_data) barplot(mic_data)
\donttest{
library(dplyr)
tbl \%>\%
mutate_at(vars(ends_with("_mic")), as.mic)
sapply(mic_data, is.mic)
}
} }

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@ -22,13 +22,7 @@ This transforms a vector to a new class \code{rsi}, which is an ordered factor w
rsi_data <- as.rsi(c(rep("S", 474), rep("I", 36), rep("R", 370))) rsi_data <- as.rsi(c(rep("S", 474), rep("I", 36), rep("R", 370)))
rsi_data <- as.rsi(c(rep("S", 474), rep("I", 36), rep("R", 370), "A", "B", "C")) rsi_data <- as.rsi(c(rep("S", 474), rep("I", 36), rep("R", 370), "A", "B", "C"))
is.rsi(rsi_data) is.rsi(rsi_data)
plot(rsi_data) # for percentages plot(rsi_data) # for percentages
barplot(rsi_data) # for frequencies barplot(rsi_data) # for frequencies
\donttest{
library(dplyr)
tbl \%>\%
mutate_at(vars(ends_with("_rsi")), as.rsi)
sapply(mic_data, is.rsi)
}
} }