Removing selective NA's valued rows in R [duplicate]

Answer 1

Another solution isdf <- df[complete.cases(df[ ,-(1:2)]), ]

df <- data.frame(c(1:4,NA), 3:7,c("abc","abd",NA,1:2),c(NA,"be",NA,"c", "d"),c(NA,"f",NA, "xy", "1.89"))

names(df) <- paste0("V", 1:ncol(df))
df
  V1 V2   V3   V4   V5
1  1  3  abc <NA> <NA>
2  2  4  abd   be    f
3  3  5 <NA> <NA> <NA>
4  4  6    1    c   xy
5  NA 7    2    d 1.89

df <- df[complete.cases(df[ ,-(1:2)]) , ]
df
  V1 V2  V3 V4   V5
2  2  4 abd be    f
4  4  6   1  c   xy
5  NA 7   2  d 1.89

Answer 2

Try

df <- df[rowSums(!is.na(df[, -c(1:2)])) != 0, ] # Remove rows which have NA's from column 3 on-wards
names(df) <- paste0("V", seq_along(df)) # Renaming the column names
df
##   V1 V2  V3   V4   V5 V6 V7
## 1  1  2 abc <NA> <NA> NA NA
## 2  2  3 abd   be    f NA NA