Hello! I have encountered a weird problem and I am wondering if this is a bug. Here is the example:
n <- 50 x <- runif(n=n) y1 <- 2 * x + rnorm(n=n) y2 <- 5 * x + rnorm(n=n) y2[sample(1:n, size=5)] <- NA y <- cbind(y1, y2) fit <- lm(y1 ~ 1, na.action="na.exclude") summary(fit) ## Goes ok here fit <- lm(y2 ~ 1, na.action="na.exclude") summary(fit) ## But fails if we use matrix of response variables fit <- lm(y ~ 1, na.action="na.exclude") summary(fit) ## Response y1 : ## ## Call: ## lm(formula = y1 ~ 1, na.action = "na.exclude") ## ## Residuals: ## Error in quantile.default(resid) : missing values and NaN's not allowed if 'na.rm' is FALSE Am I doing something wrong here? ---------------------------------------------------------------------- Btw. man page of lm says (in the begining of the details): "A typical model has the form 'response ~ terms' where 'response' is the (numeric) response vector ..." ^^^^^^ Should not this part say that repsponse can also be a matrix? Thanks -- Lep pozdrav / With regards, Gregor Gorjanc ---------------------------------------------------------------------- University of Ljubljana PhD student Biotechnical Faculty Zootechnical Department URI: http://www.bfro.uni-lj.si/MR/ggorjan Groblje 3 mail: gregor.gorjanc <at> bfro.uni-lj.si SI-1230 Domzale tel: +386 (0)1 72 17 861 Slovenia, Europe fax: +386 (0)1 72 17 888 ---------------------------------------------------------------------- "One must learn by doing the thing; for though you think you know it, you have no certainty until you try." Sophocles ~ 450 B.C. ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel