Here's the link of my data.
My target is to assign "NA" to all blank cells irrespective of categorical or numerical values. I am using na.strings="". But it's not assigning NA to all blank cells.
## reading the data
dat <- read.csv("data2.csv")
head(dat)
mon hr acc alc sex spd axles door reg cond1 drug1
1 8 21 No Control TRUE F 0 2 2 Physical Impairment (Eyes, Ear, Limb) A
2 7 20 No Control FALSE M 900 2 2 Inattentive D
3 3 9 No Control FALSE F 100 2 2 2004 Normal D
4 1 15 No Control FALSE M 0 2 2 Physical Impairment (Eyes, Ear, Limb) D
5 4 21 No Control FALSE 25 NA NA D
6 4 20 No Control NA F 30 2 4 Drinking Alcohol - Impaired D
inj1 PED_STATE st rac1
1 Fatal <NA> F <NA>
2 Moderate <NA> F <NA>
3 Moderate <NA> M <NA>
4 Complaint <NA> M <NA>
5 Complaint <NA> F <NA>
6 Moderate <NA> M <NA>
## using na.strings
dat2 <- read.csv("data2.csv", header=T, na.strings="")
head(dat2)
mon hr acc alc sex spd axles door reg cond1 drug1
1 8 21 No Control TRUE F 0 2 2 <NA> Physical Impairment (Eyes, Ear, Limb) A
2 7 20 No Control FALSE M 900 2 2 <NA> Inattentive D
3 3 9 No Control FALSE F 100 2 2 2004 Normal D
4 1 15 No Control FALSE M 0 2 2 <NA> Physical Impairment (Eyes, Ear, Limb) D
5 4 21 No Control FALSE 25 NA NA <NA> <NA> D
6 4 20 No Control NA F 30 2 4 <NA> Drinking Alcohol - Impaired D
inj1 PED_STATE st rac1
1 Fatal NA F NA
2 Moderate NA F NA
3 Moderate NA M NA
4 Complaint NA M NA
5 Complaint NA F NA
6 Moderate NA M NA
Answer
I'm assuming you are talking about row 5 column "sex." It could be the case that in the data2.csv file, the cell contains a space and hence is not considered empty by R.
Also, I noticed that in row 5 columns "axles" and "door", the original values read from data2.csv are string "NA". You probably want to treat those as na.strings as well. To do this,
dat2 <- read.csv("data2.csv", header=T, na.strings=c("","NA"))
EDIT:
I downloaded your data2.csv. Yes, there is a space in row 5 column "sex". So you want
na.strings=c(""," ","NA")