Comments (1)
robne1982
commented on June 11, 2024
It looks like this is actually a bug with single column dataframes. What you're trying to do is exactly what the package is intended to be used for.
If you add a second column
df1 <- tibble(col1 = c("cat", "dog", "rat"), col2 = c(1, 2, 3))
df2 <- tibble(col1 = c("cat", "dog", "mouse", "fly"), col2 = c(1, 2, 3, 4))
dataCompareR::rCompare(df1, df2)
Running rCompare...
Coercing input data to data.frame
All columns were compared, 1 row(s) were dropped from comparison
There are 1 mismatched variables:
First and last 5 observations for the 1 mismatched variables
rowNo valueA valueB variable typeA typeB diffAB
1 3 rat mouse COL1 factor factor
I'm no longer directly involved in this project. but I'll take a look as it should be an easy fix.
In the meantime, you can work around this issue for single column dataframes by adding a second dummy column to both dataframes.
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