Hello,
Maybe
which(is.na(pdx_stage$ft))
Have you tried na.rm = TRUE?
mean(pdx_stage$ft, na.rm = TRUE)
Hope this helps,
Rui Barradas
Às 18:34 de 04/11/21, Rich Shepard escreveu:
I'm not seeing what's different about this tibble so that mean() returns NA
on a column of doubles:
head(pdx_stage)
# A tibble: 6 × 8
site_nbr year mon day hr min tz ft
<chr> <int> <int> <int> <dbl> <dbl> <chr> <dbl>
1 14211720 2007 10 1 1 0 PDT 3.21
2 14211720 2007 10 1 1 30 PDT 3.12
3 14211720 2007 10 1 2 0 PDT 2.89
4 14211720 2007 10 1 2 30 PDT 2.65
5 14211720 2007 10 1 3 0 PDT 2.38
6 14211720 2007 10 1 3 30 PDT 2.14
mean(pdx_stage$ft)
[1] NA
Other tibbles have doubles in the value column which mean() finds. For
example:
head(pdx_depth_sens)
# A tibble: 6 × 8
site_nbr year mon day hr min tz ft
<chr> <int> <int> <int> <dbl> <dbl> <chr> <dbl>
1 14211720 2009 1 22 0 0 PST 5.68
2 14211720 2009 1 22 0 30 PST 5.66
3 14211720 2009 1 22 1 0 PST 5.69
4 14211720 2009 1 22 1 30 PST 5.75
5 14211720 2009 1 22 2 0 PST 5.85
6 14211720 2009 1 22 2 30 PST 5.98
mean(pdx_depth_sens$ft)
[1] 8.196686
How do I isolate the source of this issue?
Rich
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
