I have a data set called datastep4 with 211484 rows and 95 columns
> dim(datastep4)
[1] 211484 95
The first few column names are given below, note the first one is
"RESPONDED"
> names(datastep4)[1:5]
[1] "RESPONDED" "VAR_30" "VAR_31" "VAR_32" "VAR_33"
A table of RESPONDED shows mostly zeros
> table(datastep4$RESPONDED)
0 1
210582 902
I reduce the data set by pulling out the RESPONDED column, then verify
all is well
> test <- datastep4[,-datastep4$RESPONDED]
> dim(test)
[1] 211484 94
> names(test)[1:5]
[1] "VAR_30" "VAR_31" "VAR_32" "VAR_33" "VAR_34"
> class(test)
[1] "data.frame"
> test[1:10,1:10]
VAR_30 VAR_31 VAR_32 VAR_33 VAR_34 VAR_37 VAR_38 VAR_42 VAR_45 VAR_46
1 0 0 0 0 15198 0 0 6 NA
3 0 0 0 0 8491 0 0 4 NA
4 0 0 0 0 0 0 0 0 NA
5 0 0 0 0 67671 0 0 7 NA
7 0 0 0 0 1334 0 0 1 NA
9 0 0 0 0 0 0 0 2 NA
10 0 0 0 0 24169 0 0 10 NA
11 0 0 0 0 438 0 0 3 NA
12 0 0 0 0 2158 0 0 1 NA
13 0 0 0 0 18804 0 0 4 NA
>
If I reduce the data frame datastep4 by removing a few records where the
variable G102 is not 1, and removing the column named "G102" (which is
column 84),
I end up with a smaller set called datastep5 with 192701 rows and 94
columns
> datastep5 <- datastep4[datastep4$G102 != 1,-84]
>
> dim(datastep5)
[1] 192701 94
> names(datastep5)[1:5]
[1] "RESPONDED" "VAR_30" "VAR_31" "VAR_32" "VAR_33"
> table(datastep5$RESPONDED)
0 1
141096 584
Now, if I want to reduce this data set by removing the RESPONDED column
as was done for datastep4, it blows up
> test <- datastep5[,-datastep5$RESPONDED]
Error in .subset(x, j) : only 0's may be mixed with negative subscripts
>
I cannot find anything different about this new data set, other than a
few rows and column G104 removed and the error message it too vague.
Any ideas are greatly appreciated!
Russell Ivory
Merrick Bank
South Jordan, UT
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