Devang Akotia - 1 year ago 73

R Question

Consider a vector x:

`x <- c(0, 5, 10, 25, 30)`

I would like to create a new vector with "missing values," which means all the values that were "skipped" if I were to have a sequence with intervals of 5.

So for this example, the output shouldbe:

`xna <- c(15, 20)`

Additionally, I would have to make a function so that I can do this to any vector x.

`nats <- function(x){`

lastvalue <- x[length(x)]

firstvalue <-x[1]

xseq <- seq(firstvalue, lastvalue, 5)

for i in xseq {

# if x is not in x seq put it into a vecotr xna #

}

xna

}

I really have no idea how to do this. Would really appreciate suggestions or if there is already a function that can do this.

Please help,

Recommended for you: Get network issues from **WhatsUp Gold**. **Not end users.**

Answer Source

Solution in base R (see `?setdiff`

)

```
# Your data
x <- c(0, 5, 10, 25, 30)
# Your sequence
y <- seq(0, max(x), by = 5);
# "Skipped" values
s <- setdiff(y, x);
print(s);
[1] 15 20
```

Recommended from our users: **Dynamic Network Monitoring from WhatsUp Gold from IPSwitch**. ** Free Download**