NA values not being excluded in `cor`

问题

To simplify, I have a data set which is as follows:

b <- 1:6
# > b
# [1] 1 2 3 4 5 6
jnk <- c(2, 4, 5, NA, 7, 9)
# > jnk
# [1]  2  4  5 NA  7  9

When I try:

cor(b, jnk, na.rm=TRUE)

I get:

> cor(b, jnk, na.rm=T)
  Error in cor(b, jnk, na.rm = T) : unused argument (na.rm = T)

I've also tried na.action = na.exclude, etc. None seem to work. It'd be really helpful to know what the issue is and how I can fix it. Thanks.

回答1:

TL; DR: Use instead:

cor(b, jnk, use="complete.obs")

---

Read ?cor:

cor(x, y = NULL, use = "everything",
     method = c("pearson", "kendall", "spearman"))

It doesn't have na.rm, it has use.

an optional character string giving a method for computing covariances in the presence of missing values. This must be (an abbreviation of) one of the strings "everything", "all.obs", "complete.obs", "na.or.complete", or "pairwise.complete.obs".

Pick one. Details of what each does is in the Details section of ?cor.

回答2:

Just to make sure the answer to this question is clear.

To ignore NA, use

b <- 1:6
jnk <- c(2, 4, 5, NA, 7, 9)
cor(b, jnk, use="complete.obs")
[1] 0.9905977

来源：https://stackoverflow.com/questions/31412514/na-values-not-being-excluded-in-cor