I have a data frame with dates as integers:
> summary(persons[, c("foddat", "doddat")])
foddat doddat
Min. :16790000 Min. :18000000
1st Qu.:18760904 1st Qu.:18810924
Median :19030426 Median :19091227
Mean :18946659 Mean :19027233
3rd Qu.:19220911 3rd Qu.:19310526
Max. :19660124 Max. :19691228
NA's :624 NA's :207570
After converting the dates to Date format ('as.Date') I get:
> summary(per[, c("foddat", "doddat")])
foddat doddat
Min. :1679-07-01 Min. :1800-01-26
1st Qu.:1876-09-04 1st Qu.:1881-09-24
Median :1903-04-26 Median :1909-12-27
Mean :1895-02-04 Mean :1903-02-22
3rd Qu.:1922-09-10 3rd Qu.:1931-05-26
Max. :1966-01-24 Max. :1969-12-28
My question is: Why are the numbers of missing values not printed in the
second case? 'is.na' gives the correct (same) numbers.
Can I somehow force 'summary' to print NA's? I found no clues in the
documentation.
> sessionInfo()
R version 3.2.3 Patched (2016-01-19 r69960)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 15.10
Göran Broström
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