Of course that can be done. See code below.
Question is "what do you want to do with that data.frame?"
Some ideas you can find in Welcome to Text Mining with R by Julia Silge and David Robinson.
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> filter, lag
#> The following objects are masked from 'package:base':
#> intersect, setdiff, setequal, union
mytext <- c("This is a text. It contains rather a lot of words",
"Another text with more than 5 words.")
splitted <- strsplit(mytext,' ')
combined <- do.call(c,splitted)
text_df <- tibble(line = seq_along(combined), text = combined) %>%
mutate( col = 1 + ((line - 1) %% 5) ,
line = 1+ (line - 1) %/% 5)
textdf2 <- pivot_wider(text_df,values_from =text,names_from = col,id_cols=line)
#> line 1 2 3 4 5
#> 1 1 This is a text. It
#> 2 2 contains rather a lot of
#> 3 3 words Another text with more
#> 4 4 than 5 words. <NA> <NA>
Created on 2021-07-21 by the reprex package (v2.0.0)