On Thu, 4 Nov 2021, Ben Tupper wrote:
The help for problems() shows that the expected argument has a default
value of .Last.value. If you don't provide the input argument, it just
uses the last thing your R session evaluated. That's great if you run
problems() right after your issues arises. But you have inserted
stop_for_problems() before you get a chance to run problems(). So, in your
case, if you want to inspect the problems associated with x, you should
provide x explicitly ala problems(x).
Ben,
I've isolated one data file to import by removing both stop_for_problems()
and problems():
library(tidyverse)
cor_stage <- read_csv("../data/cor-stage.csv", col_names = TRUE,
col_types = list (
site_nbr = col_character(),
year = col_integer(),
mon = col_integer(),
day = col_integer(),
hr = col_double(),
min = col_double(),
ft = col_integer())
)
The gzipped data file can be downloaded from <https://tinyurl.com/5usc8wbz>.
R imports the file but when I look at it the last column has not been
imported and problems() doesn't return them:
source('import2.r')
cor_stage
# A tibble: 415,903 × 8
site_nbr year mon day hr min tz ft
<chr> <int> <int> <int> <dbl> <dbl> <chr> <int>
1 14171600 2009 10 23 0 0 PDT NA
2 14171600 2009 10 23 0 15 PDT NA
3 14171600 2009 10 23 0 30 PDT NA
4 14171600 2009 10 23 0 45 PDT NA
5 14171600 2009 10 23 1 0 PDT NA
6 14171600 2009 10 23 1 15 PDT NA
7 14171600 2009 10 23 1 30 PDT NA
8 14171600 2009 10 23 1 45 PDT NA
9 14171600 2009 10 23 2 0 PDT NA
10 14171600 2009 10 23 2 15 PDT NA
# … with 415,893 more rows
Warning message:
One or more parsing issues, see `problems()` for details
problems()
There are 20 .csv files; a few import properly the rest don't. I've not
before needed to import this many data files for a project but using
read.csv() hasn't failed to import the data column, either.
Thanks,
Rich
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