repeat_rows: Repeat rows of a dataframe for n times

In helixcn/herblabel: Making Labels for Herbarium Specimens in RTF and More

Description

Repeat the rows for certain times based on the number specified in the column NUMBER_OF_LABELS_TO_CREATE.

Usage

repeat_rows(dat = NULL)

Arguments

dat	A dataframe with a column NUMBER_OF_LABELS_TO_CREATE. If the column is missing, the function return the original dataframe.

Details

This function helps to create multiple labels for one collector's number. Its output can then be supplied to the function 'herbarium_label()' to generate labels. For NUMBER_OF_LABELS_TO_CREATE, any missing values (NA) will be replaced by 1. Anything in NUMBER_OF_LABELS_TO_CREATE that could not be converted into a number, will be treated as NA, but not being replaced.

Value

A dataframe with rows repeated for a certain number of times as specified in NUMBER_OF_LABELS_TO_CREATE. Note all the values will be converted to characters.

Author(s)

Jinlong Zhang

See Also

herbarium_label

Examples

### Just an Example
ddd <- c(LETTERS[1:19], "code")
dim(ddd) <- c(4, 5)
ddd
ddd <- data.frame(ddd)
ddd
ddd2 <- cbind(ddd, NUMBER_OF_LABELS_TO_CREATE = c(2, NA, "A", 5))
ddd2
repeat_rows(ddd2)

helixcn/herblabel documentation built on March 31, 2021, 5:45 a.m.