Hello!
I have the following data.frame
dput(test1.df[1:10,8:10])
structure(list(X1_1_HZP1 = c(48160L, 48198L, 80027L, 48161L,
NA, 48911L, NA, 48197L, 48021L, 11355L), X1_1_HBM1_mon = c("December",
"June", "August", "", "", "August", "April", "February", "",
"December"), X1_1_HBM1_yr = c(2014L, 2018L, 2016L, NA, NA, 1985L,
2019L, 1993L, NA, 1990L)), row.names = c(NA, 10L), class = "data.frame")
And the following function:
> dput(count1a)
function (x)
{
if (typeof(x) == "integer")
y <- sum(is.na(x))
if (typeof(x) == "character")
y <- sum(x == "")
return(y)
}
When I use the apply function with count1a, I get the following:
apply(test1.df[1:10,8:10],2,count1a)
X1_1_HZP1 X1_1_HBM1_mon X1_1_HBM1_yr
NA 3 NA
However, when I do use columns 8 and 10, I get the correct response:
apply(test1.df[1:10,c(8,10)],2,count1a)
X1_1_HZP1 X1_1_HBM1_yr
2 3
>
I am really baffled. If I use count1a on a single column, it works fine.
Any suggestions much appreciated.
Thanks,
Sincerely,
Erin
Erin Hodgess, PhD
mailto: erinm.hodg...@gmail.com
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