I have a dataset, like something below:
sample1 <-
structure(list(ID = c( 1, 2, 3, 4, 5, 6, 7, 8, 9, 10),
L = c(1.31, 1.62, 1.93, 2.24, 2.55, 2.86, 3.17, 3.48, 3.79, 4.10)),
class = c("tbl_df", "tbl", "data.frame"), row.names = c(NA, -10L))
I need to round the "L" column variables to the nearest 0.00, 0.25, 0.5, and 0.75. I really appreciate any help you can provide.
Rounding to the nearest quarter can be accomplished by multiplying the original data by 4, rounding the result, and then dividing by 4 (equivalently, you could divide the original by 0.25, round, and then multiply by 0.25):
sample1$L_round <- round(sample1$L * 4) / 4
ID L L_round
<dbl> <dbl> <dbl>
1 1 1.31 1.25
2 2 1.62 1.5
3 3 1.93 2
4 4 2.24 2.25
5 5 2.55 2.5
6 6 2.86 2.75
7 7 3.17 3.25
8 8 3.48 3.5
9 9 3.79 3.75
10 10 4.1 4