I have the following data frame in R:
> str(df)
\'data.frame\': 545227 obs. of 15 variables:
$ ykod : int 93 93 93 93 93 93 93 93 93 93 ...
$ yad :
This dplyr
method works nicely when piping.
For selected columns:
library(dplyr)
iris %>%
select(Sepal.Width, Species) %>%
t %>% c %>% unique
[1] "3.5" "setosa" "3.0" "3.2" "3.1"
[6] "3.6" "3.9" "3.4" "2.9" "3.7"
[11] "4.0" "4.4" "3.8" "3.3" "4.1"
[16] "4.2" "2.3" "versicolor" "2.8" "2.4"
[21] "2.7" "2.0" "2.2" "2.5" "2.6"
[26] "virginica"
Or for the whole dataframe:
iris %>% t %>% c %>% unique
[1] "5.1" "3.5" "1.4" "0.2" "setosa" "4.9"
[7] "3.0" "4.7" "3.2" "1.3" "4.6" "3.1"
[13] "1.5" "5.0" "3.6" "5.4" "3.9" "1.7"
[19] "0.4" "3.4" "0.3" "4.4" "2.9" "0.1"
[25] "3.7" "4.8" "1.6" "4.3" "1.1" "5.8"
[31] "4.0" "1.2" "5.7" "3.8" "1.0" "3.3"
[37] "0.5" "1.9" "5.2" "4.1" "5.5" "4.2"
[43] "4.5" "2.3" "0.6" "5.3" "7.0" "versicolor"
[49] "6.4" "6.9" "6.5" "2.8" "6.3" "2.4"
[55] "6.6" "2.7" "2.0" "5.9" "6.0" "2.2"
[61] "6.1" "5.6" "6.7" "6.2" "2.5" "1.8"
[67] "6.8" "2.6" "virginica" "7.1" "2.1" "7.6"
[73] "7.3" "7.2" "7.7" "7.4" "7.9"