I'm importing participant data from an Excel spreadsheet and then am trying to change the values of certain cells in one column of the dataframe based on a criteria in another column (in the form of a nested if - else if statement inside an if statement).
However, I get the error message '
Error in if (.) Reverse_keyed == 1 else { : argument is not interpretable as logical'. 'Reverse_keyed' is the column heading - where the value is 1 (the other possible value it takes in the filtered cells is 0), I am trying to change the values in the 'response_responseV' column, depending on the values in those cells. 'D' is the master frame with each subject's data and variables.
questionnaire = D %>%
filter(!is.na(response_responseV), is.na(response_responseS)) %>%
if (Reverse_keyed == "1") {
if (response_responseV == "1") {
response_responseV == "7"
} else if (response_responseV == "2") {
response_responseV == "6"
} else if (response_responseV == "3") {
response_responseV == "5"
} else if (response_responseV == "5") {
response_responseV == "3"
} else if (response_responseV == "6") {
response_responseV == "2"
} else if (response_responseV == "7") {
response_responseV == "1"
}
}
Can anyone help this R dummy to resolve this issue or at least try and guide me to see how I can resolve it? It seems that it may be trying to interpret Reverse_keyed as logical rather than numerical. Apologies if anything's not clear. Let me know if you need further information or context.
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