r - new column created in dataframe based on conditions in other columns - but data being read incorrectly -


i have dataframe describing observations of bird species in various locations based on month , year. looks this:

       common.name observation.count                 locality month year             bushtit                 1                vancouver   jan 2000    lapland longspur                 1 vancouver - general area   jan 2000            mew gull                 1                vancouver   jan 2000       american coot                 4             maplewood 00   jan 2000       american coot                 2             maplewood 00   jan 2000       american coot                 1    iona island (general)   jan 2000

i trying create column in data frame called "season" groups months of jan, feb, mar , calls them winter , groups months oct, nov, dec fall. code wrote this:

metrobirds$season<-ifelse(metrobirds$month==c("jan","feb","mar"),"winter","fall")

however, when view dataframe, r has not correctly grouped data in new column. example, many of rows jan, feb, or mar indicated fall , correctly indicated winter. what's wrong code? suggestions correct error?

when read csv file r, converted columns identified factors characters (e.g. common name, month, , locality), columns should being read characters.

thanks this!

try using %in%, 

metrobirds$season<-ifelse(metrobirds$month %in% c("jan","feb","mar"),"winter","fall")

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