I tried finding a way to handle NA data but unable to do so, Please assist me on this.
I have below data,
R1 <- c("15515","5156","65656","1566", "2857","8888","65656","1566","65651")
R2 <- c("515","5156.11-","415-","1455-","886","888","777","666","4457")
RC1 <- c("AW","FG","ZA","ZI","","CW","","","")
RC2 <- c("SSSBB","","","ZXXQA","","CQAER","","KKHDY","TTQWW")
RC3 <- c("KKAJDJHW","XVVJAKWA","","","","CDDGAJJA","GGGAJTTD","","BBNMNJJI")
df <- data.frame(R1,R2,RC1,RC2,RC3)
I am using below code to tackle NA among only RC1,RC2 & RC3
df_1$RCC <- with(df_1, coalesce(df_1$RC3,df_1$RC2,df_1$RC1))
df_1
I am unable to fetch data from RC1 & RC2. Need your Kind assistance.
For coalesce
to work you need NA
's and not blanks. Change the blanks to NA
and try :
library(dplyr)
df[df == ''] <- NA
df %>% mutate(RCC = coalesce(RC3, RC2, RC1))
# R1 R2 RC1 RC2 RC3 RCC
#1 15515 515 AW SSSBB KKAJDJHW KKAJDJHW
#2 5156 5156.11- FG <NA> XVVJAKWA XVVJAKWA
#3 65656 415- ZA <NA> <NA> ZA
#4 1566 1455- ZI ZXXQA <NA> ZXXQA
#5 2857 886 <NA> <NA> <NA> <NA>
#6 8888 888 CW CQAER CDDGAJJA CDDGAJJA
#7 65656 777 <NA> <NA> GGGAJTTD GGGAJTTD
#8 1566 666 <NA> KKHDY <NA> KKHDY
#9 65651 4457 <NA> TTQWW BBNMNJJI BBNMNJJI