Deleted Blank Row Information Remains

Question

I have this dataframe:

Id         weight sex 
Blank row
1            150   F
2            120   M
3            140   M
4            100   F
5            90    F

So, I used this command to delete the blank row:

new.dt <- dt[is.na(dt$Id) | dt$Id != "",]

But, when I will do the statistical the blank row still considered, for example:

str(new.dt$sex)


 Factor w/ 3 levels "","F","M"

How I delete this blank information from my analysis?

We need `droplevels` i.e. `new.dt <- droplevels(new.dt)` – akrun Apr 29 '19 at 14:07 — akrun, Apr 29 '19 at 14:07
I did it. Sorry, but what should happen? – Curious G. Apr 29 '19 at 14:13 — Curious G., Apr 29 '19 at 14:13
Now, it's work. Thanks. Please, insert your answer. =0 – Curious G. Apr 29 '19 at 14:24 — Curious G., Apr 29 '19 at 14:24

score 2 · Accepted Answer · answered Apr 29 '19 at 14:24

2

We can use droplevels to drop any unused factor levels in any of the columns

new.dt <- droplevels(new.dt)

answered Apr 29 '19 at 14:24

akrun

1 Answers1