在 R 中的 data.table 中删除 NA

Question

I'm trying to do in R something apparently very easy (sorry but i'm very newbie with data.tables) but I don't manage to get the right solution. I try to delete the rows with NA values on a specific column("Ground_Tru". This is my attempt so far;

all_data <- fread ("all_vbles.txt",header=TRUE, na.strings=c("NA","N/A",""))
na.omit (all_data, cols="Ground_Tru")

I get the message

Empty data.table (0 rows) of 75 cols: OID_,IN_FID,Polygon_ID,DIST_highw,DIST_railw,DIST_port...

however the "Ground_Tru" field has many NA values thanks in advance for any help,

Answer 1

At the end I managed to solve the problem. Apparently there are some issues with R reading column names using the data.table library so I followed one of the suggestions provided here: read.table doesn't read in column names

so the code became like this:

library(data.table)

read.table("all_vbles.txt",header=T,nrow=1,sep=",",dec=".",quote="")
all_data <- fread ("all_vbles.txt",header=FALSE, skip=1, ,sep="auto", na.strings=c("NA","N/A","")) 
setnames (all_data,header)
test_data <- na.omit (all_data, "Ground_Tru") 

which seemed to work fine.

Answer 2

使用complete.cases ：

all_data <- all_data[complete.cases(all_data[, 'Ground_Tru'])]