When working with data (e.g., in data.frame) the user can control displaying digits by using
options(digits=3)
and listing the data.frame
You can use the function format() as in:
write.table(format(ttf.all, digits=2), 'clipboard', sep='\t',row.names=F)
format() is a generic function that has methods for many classes, including data.frames. Unlike round(), it won't throw an error if your dataframe is not all numeric. For more details on the formatting options, see the help file via ?format
Adding a solution for data frame having mixed character and numeric columns. We first use mutate_if to select numeric columns then apply the round() function to them.
# install.packages('dplyr', dependencies = TRUE)
library(dplyr)
df <- read.table(text = "id year V1.x.x V1.y.x ratio1
a 2006 227.11111 645.11111 35.22222
b 2007 639.11111 1645.11111 38.22222
c 2008 1531.11111 3150.11111 48.22222
d 2009 1625.11111 3467.11111 46.22222",
header = TRUE, stringsAsFactors = FALSE)
df %>%
mutate_if(is.numeric, round, digits = 2)
#> id year V1.x.x V1.y.x ratio1
#> 1 a 2006 227.11 645.11 35.22
#> 2 b 2007 639.11 1645.11 38.22
#> 3 c 2008 1531.11 3150.11 48.22
#> 4 d 2009 1625.11 3467.11 46.22
### dplyr v1.0.0+
df %>%
mutate(across(where(is.numeric), ~ round(., digits = 2)))
#> id year V1.x.x V1.y.x ratio1
#> 1 a 2006 227.11 645.11 35.22
#> 2 b 2007 639.11 1645.11 38.22
#> 3 c 2008 1531.11 3150.11 48.22
#> 4 d 2009 1625.11 3467.11 46.22
Created on 2019-03-17 by the reprex package (v0.2.1.9000)