Displaying 3 results from an estimated 3 matches for "fiscalforecasting".
2017 Oct 29
1
Count non-zero values in excluding NA Values
Dear R Staff
This is my file (www.fiscalforecasting.com/data.csv)
if you don't download this file, my dataset same as following
Year
Month
A
B
C
D
E
2005
July
0
*4*
NA
NA
*1*
2005
July
0
NA
NA
0
*9*
2005
July
NA
*4*
0
*1*
0
2005
July
*4*
0
*2*
*9*
NA
I try to count non-zero values which are not NA values for...
2017 Oct 29
0
Count non-zero values in excluding NA Values
Since i could not see your data, the easiest thing comes to mind is court
values excluding NAs, is something like this
sum(!is.na(x))
Best of luck--EK
On Sun, Oct 29, 2017 at 6:25 AM, Engin YILMAZ <ispanyolcom at gmail.com> wrote:
> Dear R Staff
>
> You can see my data.csv file in the annex.
>
> I try to count non-zero values in dataset but I need to exclude NA in this
>
2017 Oct 29
7
Count non-zero values in excluding NA Values
Dear R Staff
You can see my data.csv file in the annex.
I try to count non-zero values in dataset but I need to exclude NA in this
calculation
My code is very long (following),
How can I write this code more efficiently and shortly?
## [NA_Count] - Find NA values
data.na =sapply(data[,3:ncol(data)], function(c) sum(length(which(is.na
(c)))))
## [Zero] - Find zero values