I have about 2 data frames, each one has 13 columns like this way :
1st dataframe :
"ID" "Product" "Date" "Year" "Month" "KKK_01" "PPP_01" "Output_01"
SD54d Pcsq1 2016/02/01 2016 02 1253.25 2563.2 6936
AD152 P25 2001/06/12 2001 06 1200025 25080 983.01
26zad P*896 2012/03/10 2012 03 15647.1 256 99874
1st dataframe :
"ID" "Product" "Date" "Year" "Month" "KKK_02" "PPP_02" "Output_02"
SD54d Pcsq1 2016/02/01 2016 02 50 5063 3.26
EDADA SP?DEJ 2001/06/12 2001 06 9997 25080 9
26zad P*896 2012/03/10 2012 03 0 887 189
It's possible that the same ID client existe in both data frame. In this case, only the columns
"KKK_(index)" "PPP_(index)" "III_(index)" "Output_(index)"
will change.
Finaly, I want to combine both data frames without duplicating the identical columns: "ID" "Product" "Date" "Year" "Month"
finaldataframe :
"ID" "Product" "Date" "Year" "Month" "KKK_01" "PPP_01" "Output_01" "KKK_02" "PPP_02" "Output_02"
SD54d Pcsq1 2016/02/01 2016 02 50 5063 3.26 50 5063 3.26
AD152 SP?DEJ 2001/06/12 2001 06 9997 25080 9 0 0 0
26zad P*896 2012/03/10 2012 03 0 887 189 0 0 0
EDADA SP?DEJ 2001/06/12 2001 06 0 0 0 25 9 3
I tried to merge with "ID" but it didn't work.
dataframe1=merge(dataframe1, dataframe2, all=T)
I even tried to replace the na after values after the merge but I get error
invalid factor level, Na generated
Your help is very much appreciated !
Try to convert every factor columns in character columns and do your merging again :
#col = Your column name
dataframe1[,col] <- as.character(datframe1[,col])
Your code work on mine configuration.
Hope that's will work
Gottavianoni
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