Replace a single column values

Question

How do i replace values from a single column of a dataframe. For example all 0 values in column dataz to values of 1

     datay dataz
 [1,]     0   100
 [2,]         


        

Answer 1

This will change values of 5 to NA. You can also use a range.

df <- data.frame(datay = sample(1:5, 10, replace = TRUE), dataz = sample(letters, 10, replace = TRUE))
df$datay[df$datay == 5] <- NA

This will find data smaller than 3 and bigger than 1. Use assign (<-) to assign your value.

df$datay[df$datay < 3 & df$datay > 1]

Here's a quick example of ifelse.

ifelse(df$dataz == "w", "oi!", NA)

Answer 2

Load your data by (for others to easily do that for your reproducible example):

> text <- textConnection("     datay dataz
+  [1,]     0   100
+  [2,]     2   101
+  [3,]     3   102
+  [4,]     4   103
+  [5,]    10     0
+  [6,]    11     0
+  [7,]     0     0
+  [8,]     0     0
+  [9,]     0     0
+ [10,]    12    11
+ [11,]    45    12")
> df <- read.table(text, header=TRUE)

Or by using the output of dput applied to your data frame:

> df <- structure(list(datay = c(0L, 2L, 3L, 4L, 10L, 11L, 0L, 0L, 0L, 
12L, 45L), dataz = c(100L, 101L, 102L, 103L, 0L, 0L, 0L, 0L, 
0L, 11L, 12L)), .Names = c("datay", "dataz"), class = "data.frame", row.names = c("[1,]", 
"[2,]", "[3,]", "[4,]", "[5,]", "[6,]", "[7,]", "[8,]", "[9,]", 
"[10,]", "[11,]"))

To change "all 0 values in column dataz to values of 1":

> df$dataz[df$dataz == 0] <- 1
> df
      datay dataz
[1,]      0   100
[2,]      2   101
[3,]      3   102
[4,]      4   103
[5,]     10     1
[6,]     11     1
[7,]      0     1
[8,]      0     1
[9,]      0     1
[10,]    12    11
[11,]    45    12