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If substitution of -99999 with NAs as fast as it could be? My concern is that the code I use works with only a subset of the output data frame (e.g., the code is: output_data[,col_repl] <- as.data.frame(lapply(output_data[,col_repl], function(x){replace(x, x == -99999,NA)}))
Find a new column name for the label of spatial replicates. I fear that labels such as spatial_replication_level_1_label are will look annoyingly long for the average user.
Moreover, I have moved author and authors_contact as first two lines of the data frames returned by get_data. The rationale is that in so doing, author information is prominent, but it's not "in the way" of the actual data.
The default query of
get_data
sometimes returns sparse data frames. I suggest that, as default, we should:sppcode
(until at least we translate sppcode to genus/species)lat_study_site
/lng_study_site
NA
treatment
/structure
/spatial replication
columns if they contain only NAscovariates
in last instead of penultimate column?The text was updated successfully, but these errors were encountered: