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 ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
