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> >> example. Furthermore in my example no unwanted format occurred. You can > > Yes because data.frame was (luckily) numeric. > Luck has nothing to do with this. I Chose this example on purpose ? St?phane

There is a function keep() in package gdata for this purpose Le 19 f?vr. 2015 ? 10:25, philippe massicotte <pmassicotte at hotmail.com> a ?crit : > Dear R users. > > I would like to remove all object from my workspace except...

Le 27 mars 2015 ? 18:01, David Winsemius <dwinsemius at comcast.net> a ?crit : > > On Mar 27, 2015, at 3:41 AM, St?phane Adamowicz wrote: > >> Well, it seems to work with me. >> > > No one is doubting that it worked...

Many thanks, St?phane Le 30 mars 2015 ? 10:42, peter dalgaard <pdalgd at gmail.com> a ?crit : > >> On 30 Mar 2015, at 09:59 , St?phane Adamowicz <stephane.adamowicz at avignon.inra.fr> wrote: >> >> >> However, in order to help...

Le 4 d?c. 2014 ? 13:40, Tal Galili a ?crit : > By accident I came across the following example: > > x <- 1:3 > y <- 1:3 > line(x, y) # returns: > > Call: > line(x, x) > > Coefficients: > [1] -2 2 > > > While when using...

Why not use complete.cases() ? data_no_NA <- data[, complete.cases(t(data))==T] Le 27 mars 2015 ? 06:13, Jatin Kala <jatin.kala.jk at gmail.com> a ?crit : > Hi, > I've got a rather large matrix of about...

Well, it seems to work with me. Y <- as.matrix(airquality) head(Y, n=8) Ozone Solar.R Wind Temp Month Day [1,] 41 190 7.4 67 5 1 [2,] 36 118 8.0 72 5 2 [3,] 12...

This happens because your model should be : aov.out = aov(values ~ time + Error(subject), data=mydata2) This will not generate any error. However, you should be aware that aov is not suitable for unbalanced data, for which it will give...

Le 27 mars 2015 ? 12:34, PIKAL Petr <petr.pikal at precheza.cz> a ?crit : > Very, very, very bad solution. > > as.matrix can change silently your data to unwanted format, complete.cases()==T is silly as Peter already pointed out...

Many thanks to J. Wiley and B. Ripley for their quick answers. I suppose that many end users are aware of problems in calculation accuracy with computers. However, I would like to comment that it was not that obvious for...

Maybe this is what you wanted : Data <- structure(list(y = c(4.5, 4.5, 4.7, 6.7, 6, 4.4, 4.1, 5.3, 4, 4.2, 4.1, 6.4, 5.5, 3.5, 4.6, 4...

Recently, I came across a strange and potentially troublesome behaviour of the lm and aov functions that ask questions about calculation accuracy. Let us consider the 2 following datasets dat1 & dat2 : > (dat1 <- data.frame(Y=c(1:3, 10+1...