dataframe - r reshape data using row with NA to identify new column -


i have dataset in r looks this:

df <- data.frame(name=c("a","b","c","d","b","e","f"),                  x=c(na,1,2,3,na,4,5))

i reshape into:

rdf <- data.frame(name=c("b","c","d","e","f"),                   x=c(1,2,3,4,5),                   head=c("a","a","a","b","b"))

where first row na identifies new column, , takes "row value" until next row na, , changes "row value".

i have tried both spread , melt, not give me want.

library(tidyr) df %>% spread(name,x) library(reshape2) melt(df, id=c('name'))

any suggestions?

here's possible data.table/zoo packages combination solution

library(data.table) ; library(zoo)  setdt(df)[is.na(x), head := name] na.omit(df[, head := na.locf(head)], "x")  #    name x head # 1:    b 1    # 2:    c 2    # 3:    d 3    # 4:    e 4    b # 5:    f 5    b

or suggested @arun, using data.table

na.omit(setdt(df)[, head := name[is.na(x)], by=cumsum(is.na(x))])

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