Using Replace function in sample with R

Question

I'm trying to use sample function however encounturing some trouble. My objective is to have 500 samples from a normal distrubition and replace any numbers that are less than 5. I tried using replace function but not familiar with syntax and keep recieivng errors.

My normal distrubition code is:

 x <- rnorm(1000,10,4)

Would you mind to share the `replace` code that you've tried? — jay.sf, Mar 11 '20 at 17:39
Aha, ok, the `replace=` argument of the `sample` function is actually logical `TRUE/FALSE` where you can choose if the values are sampled only once or multiple occurences (=replacement). — jay.sf, Mar 11 '20 at 17:43
May I ask with what you intend to replace the values `x < 5`? — jay.sf, Mar 11 '20 at 17:51

score 2 · Answer 1 · answered Mar 11 '20 at 17:51

So it seems like you actually want a truncated normal distribution. I would suggest truncdist. Then you can do

library(truncdist)
set.seed(123)
x <- rtrunc(1000, "norm", a = 5, mean = 10, sd = 4)

to get the samples you want:

summary(x)

#   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
#  5.009   8.268  10.440  10.780  13.002  23.091 

plot(density(x, from = 5))

score 1 · Accepted Answer · answered Mar 11 '20 at 17:50

1

Remove values smaller than 5 from x and then sample 500 values

sample(x[x > 5], 500)

answered Mar 11 '20 at 17:50

lop

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3

Using Replace function in sample with R

2 Answers2