Getting unexpected results in R when merging two data frames with different date formats
I'm working with an scenario while trying to merge two data frames in R that contain date columns but in different formats. One data frame, `df1`, has a date column in the format `YYYY-MM-DD`, while the other, `df2`, has a date column in the format `DD/MM/YYYY`. When I attempt to merge them using `merge()` function, I get unexpected results, and some rows seem to be missing from the output. Here's the code I used: ```r # Creating sample data frames df1 <- data.frame(id = 1:3, date = as.Date(c('2023-01-01', '2023-01-02', '2023-01-03'))) df2 <- data.frame(id = 1:3, date = c('01/01/2023', '02/01/2023', '03/01/2023')) # Converting df2 date column to Date type library(lubridate) df2$date <- dmy(df2$date) # Merging data frames merged_df <- merge(df1, df2, by = "date") ``` However, the resulting `merged_df` only contains the first row. I suspect it has something to do with the date formats, but everything seems to be converted correctly. I also tried checking the structure of both data frames with `str(df1)` and `str(df2)` and they seem to show the date columns as `Date` type after conversion. Could someone guide to understand why the merge is not producing the expected rows and how to handle merging data frames with different date formats effectively? I'm using R version 4.3.0 and lubridate version 1.8.0.