I would like to create a random sample of the rows of a data frame that
is larger than the number of rows in the data frame. With an individual
vector, this is easy using select(variable, number, replace = TRUE). I
looked on-line I found some guides to sample from a data frame using
indexing, but I don't seem to be able to get the results that I want.
# Example:
name <- c("andy", "kevin", "lindsay", "karen")
age <- c(29, 37, 26, 31)
gender <- c("M", "M", "F", "F")
people <- data.frame(name, age, gender)
# I would like to create a random sample of my rows, N =10
people[sample(1:nrow(people), 10, replace = TRUE)]
Sometimes this generates an error (undefined columns), and sometimes it
creates a random selection (N=10) of my columns, not my rows. This lead
me to try:
people[sample(1:ncol(people), 10, replace = TRUE)]
#AND
people[sample(people, 10, replace = TRUE)]
Neither works. Could someone please explain to me what I am missing?
I feel like I am close because this does work:
counts <- 1:10
counts[sample(counts, 20, replace = TRUE)]
Thank you
--andy
System Info
platform i486-pc-linux-gnu
arch i486
os linux-gnu
system i486, linux-gnu
status
major 2
minor 7.1
year 2008
month 06
day 23
svn rev 45970
language R
version.string R version 2.7.1 (2008-06-23)
--
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