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Tag: r

Select Rows That Does Not Contain any Negative Or Missing Value

Assume a database table has a few hundred columns. In SQL statements, how would you select rows/records that do not contain any negative or missing value? Can you do it using the sqldf package for R users? Here is an example of data frame with 6 rows and 2 columns: The SQL statement(s) should only return a table containing the

R: “Fuzzy Match” and “Between” Statements

I am working with the R Programming Language. I have the following tables (note: all variables appear as “Factors”): I am trying to “join” (e.g. inner join) this tables on the following conditions: 1) if table_1$id “fuzzy equal” table_2$id AND 2) if table_1$date BETWEEN(table_2$date_2,table_2$date_3) I tried to write the following code in R to do this: Question: But I am

Creating a cumulative sum column with_order in R

I’m working alongside a SQL tutorial using queryparser and tidyquery in R. This has been going well until I was asked to do: Tidyquery reported that it did not support OVER functions so I am trying to replicate the OVER (PARTITION BY…) function with dplyr. This led me to with_order(order_by =… in dplyr. Now I’m struggling with getting the fun

Permission denied when using file.remove in R after updating to 4.1.1

After updating from 3.6.3 to 4.1.1 a weekly script I run broke. Specifically it triggers an error: To manually delete temp.csv I get a file in use by rsession.exe error from windows. If I restart R in Rstudio, then both file.remove() and manually deleting work. It might be that I’m using a bad stratgy in the first place, but the