Arrange multiple column into a single column using R-language

Question

[xxxxxxxx]

My data is like this having 180 columns(column length are different) and length of column is very long-

1828    79595   219479  90102   1009
5936    114882  57685   6621    80823
27102   160335  51599   118987  
8912            5910        
4012

How to convert/arrange these multiple column into a single column like this-

1828
5936
27102
8912
4012
79595
114882
160335
219479
57685
51599
5910
90102
6621
118987
1009
80823

Using R-language because my data is so long that it can't able to fit in a excel sheet when converted to 1 column

[cpad0112]

with op data:

> library(tidyr)
> df=read.csv("test.txt", strip.white = T, stringsAsFactors = F, sep="\t", header = F)
> df
     V1     V2     V3     V4    V5
1  1828  79595 219479  90102  1009
2  5936 114882  57685   6621 80823
3 27102 160335  51599 118987    NA
4  8912   5910     NA     NA    NA
5  4012     NA     NA     NA    NA
> na.omit(as.data.frame(gather(df)[,2]))
   gather(df)[, 2]
1             1828
2             5936
3            27102
4             8912
5             4012
6            79595
7           114882
8           160335
9             5910
11          219479
12           57685
13           51599
16           90102
17            6621
18          118987
21            1009
22           80823
>

[Fabio Marroni]

Or (saving test.txt as a text file)

pp<-read.table("test.txt",fill=T,strip.white=T,header=F)
as.data.frame(na.omit(unlist(pp)))