I have dataframe like this
col_names |
---|
Aceh..........................................................66.29..........................56.49..........................64.01..................................49.72.....................................39.58...............................52.15 |
Sumatera.Utara.........................................88.20..........................82.19..........................79.45..................................66.94.....................................53.35...............................73.16 |
Sumatera.Barat..........................................84.48..........................74.76..........................79.30..................................55.64.....................................44.68...............................78.55 |
I want to convert into like this
Province | Value_1 | Value_2 | Value_3 | Value_4 | Value_5 | Value_6 |
---|---|---|---|---|---|---|
Aceh | 66.29 | 56.49 | 64.01 | 49.72 | 39.58 | 52.15 |
Sumatera.Utara | 88.20 | 82.19 | 79.45 | 66.94 | 53.35 | 73.16 |
Sumatera.Barat | 84.48 | 74.76 | 79.30 | 55.64 | 44.68 | 78.55 |
my code
df$province <- str_extract(df$col_names, '\\w*\\.\\w*')
df$values <- str_extract_all(df$col_names, '[0-9]+\\.[0-9]+')
df <- subset(df, select = c(province, values))
but the values are still in 1 column. I want to separate each of those 6 values into 1 column each.
For example
> read.table(text=sapply(dat,function(x){gsub("\\.{2,}",",",x)}),sep=",")
V1 V2 V3 V4 V5 V6 V7
1 Aceh 66.29 56.49 64.01 49.72 39.58 52.15
2 Sumatera.Utara 88.20 82.19 79.45 66.94 53.35 73.16
3 Sumatera.Barat 84.48 74.76 79.30 55.64 44.68 78.55