Creating multiple columns using spread function from the dplyr package is straightforward.
For example, I can use this: spread(df, key = 'var1', value = 'estimate')
How can we do if we have rows of multiple columns (var1 to var5) as an example below? This gives duplicate columns, which is also a big issue I am concerned about.
I will then gather them together and wondering how will this be done.
| id | var1 | var2 | var3 | var4 | var5 | estimate |
|---|---|---|---|---|---|---|
| 1 | A | B | C | 1 | ||
| 2 | B | A | C | D | E | 1 |
| 3 | C | D | E | 1 | ||
| 4 | A | B | E | 1 | ||
| 5 | D | E | F | 1 | ||
| 6 | B | C | D | E | F | 1 |
| 7 | A | B | C | D | F | 1 |
| 8 | F | G | 1 | |||
| 9 | G | H | 1 | |||
| 10 | D | F | K | 1 |
Thanks