T-T - 6 months ago 65

R Question

I have a large data set and I need to get the standard deviation for the

`Main`

`df1 <- data.frame(`

Main = c(0.33, 0.57, 0.60, 0.51),

B = c(NA, NA, 0.09,0.19),

C = c(NA, 0.05, 0.07, 0.05),

D = c(0.23, 0.26, 0.23, 0.26)

)

View(df1)

# Main B C D

# 1 0.33 NA NA 0.23

# 2 0.57 NA 0.05 0.26

# 3 0.60 0.09 0.07 0.23

# 4 0.51 0.19 0.05 0.26

Take column

`B`

`NA`

`sd(df1[3:4,1])`

`C&D`

`sd(df1[2:4,1])`

`sd(df1[1:4,1])`

`# B C D`

# 1 0.06 0.05 0.12

I did the followings but it only returned one number -

`0.0636`

`df2 <- df1[,-1]!=0`

sd(df1[df2,1], na.rm = T)

My data set has many more columns, and I'm wondering if there is a more efficient way to get it done? Many thanks!

Answer

Try:

```
sapply(df1[,-1], function(x) sd(df1[!is.na(x), 1]))
# B C D
# 0.06363961 0.04582576 0.12093387
```

Source (Stackoverflow)