CODEWITHSUNDEEP
r
Bee
Bee

Reputation: 53

Error calling gender in dataframe

I have a data frame of names which I read from a csv file. contents of the data frame is as below.

       NAME CURR_GENDER COUNT
1       LESLIE          N   186
2        COREY          N    86
3       KELSEY          N    52
4        DARYL          N    38
5 PRISCIANDARO          N    33
6         SUNG          N    30

I am trying to determine the gender using gender library given the name and add the output as a column to the existing data frame.

    csv_in <- "Names.csv"

    Names_df <- read.csv(csv_in)

    gender(Names_df$NAME,
     method = "ssa",
     years = c(1930, 2012)) %>%
     do.call(rbind.data.frame, .)

However, I am getting the below error. Hoping you can point out what I am doing wrong here.

Error in gender(Names_df$NAME, method = "ssa", years = c(1930, 2012)) : Data must be a character vector.

Upvotes: 4

Views: 1513

Answers (1)

ila
ila

Reputation: 766

The error is telling you that Names_df$NAME is not a character vector, but needs to be. Try running 

Names_df$NAME <- as.character(Names_df$NAME)

and then trying again. If that doesn't work, run class(Names_df$NAME) and tell us what comes up.

Upvotes: 2

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