Probably simplest to assign the names afterwards as others have
suggested but it could be done like this:
library(sqldf)
write.csv(BOD, "BOD.csv", quote = FALSE, row.names = FALSE) # test data
read.csv.sql("BOD.csv", "select Time as Time2, demand as demand2 from file")
giving the column names Time2 and demand2 rather than the original column names.
Time2 demand2
1 1 8.3
2 2 10.3
3 3 19.0
4 4 16.0
5 5 15.6
6 7 19.8
On Fri, Jul 17, 2020 at 9:28 PM H <age...@meddatainc.com> wrote:
>
> I have created a dataframe with columns that are characters, integers and
> numeric and with column names assigned by me. I am using read.csv.sql() to
> read portions of a number of large csv files into this dataframe, each csv
> file having a header row with columb names.
>
> The problem I am having is that the csv files have header rows with column
> names that are slightly different from the column names I have assigned in
> the dataframe and it seems that when I read the csv data into the dataframe,
> the column names from the csv file replace the column names I chose when
> creating the dataframe.
>
> I have been unable to figure out if it is possible to assign column names of
> my choosing in the read.csv.sql() function? I have tried various variations
> but none seem to work. I tried colClasses = c(....) but that did not work, I
> tried field.types = c(...) but could not get that to work either.
>
> It seems that the above should be feasible but I am missing something? Does
> anyone know?
>
> A secondary issue is that the csv files have a column with a date in
> mm/dd/yyyy format that I would like to make into a Date type column in my
> dataframe. Again, I have been unable to find a way - if at all possible - to
> force a conversion into a Date format when importing into the dataframe. The
> best I have so far is to import is a character column and then use as.Date()
> to later force the conversion of the dataframe column.
>
> Is it possible to do this when importing using read.csv.sql()?
>
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--
Statistics & Software Consulting
GKX Group, GKX Associates Inc.
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