删除NA值后无法查看数据框中的数据

Question

I've two data frames in time and out time with around 240 columns and 4100 rows. There are lots of NA values in both the data frames which I need to remove and then subtract in time from out time. I gave this command below to remove all the NA values out_time1 <- na.omit(out_time)

Then when I give view(out_time) I get only head rows in my data frame. I am unable to view any data now. Why is it so? The same thing happens with in_time data frame as well.

1. Please help me in removing the NA values from these two data frames.

Regards,

Pavan.

Answer 1

It is likely that at least 1 column for every row has an NA, resulting in no data being returned. If you use complete.cases() you can see a row-wise NA check.

# Example Data
test <- diag(rep(NA,4))
test[1,1] <- 0
test
#     [,1] [,2] [,3] [,4]
#[1,]    0    0    0    0
#[2,]    0   NA    0    0
#[3,]    0    0   NA    0
#[4,]    0    0    0   NA

complete.cases(test)
#[1]  TRUE FALSE FALSE FALSE

if sum(complete.cases(test)) does not equal at least 1, then you have no rows that are absent of NA data. You should thoroughly investigate your data for NAs.

You can make use of table(is.na(test)) or rowSums(is.na(test)) or colSums(is.na(test))

Answer 2

If you mean that View(out_time) gives you the column headers and nothing else, it is because there are no data present in the data frame, leaving just the headings.

Basically, you deleted everything in the data frame because na.omit(out_time) removes any rows that have a single NA present.