Re: [R] predict function in regression analysis

-0.206 0.8379 >> time 0.025860.02046 1.264 0.2153 >> --- >> >>[[alternative HTML version deleted]] >> >> ______ >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >> h

Re: [R] Repeated Measures ANOVA and Missing Values in the data set

see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. Stéphane Adamowicz Chercheur / Scientist stephane.adamow...@paca.inra.fr Centre PACA - U

Re: [R] Using "line" (Tukey's robust line) on 3 observations?

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 1:4, it will give the more reasonable 0,1 coefficients. > > I imagine

Re: [R] Removing objects except user-defined functions

There is a function keep() in package gdata for this purpose Le 19 févr. 2015 à 10:25, philippe massicotte a écrit : > Dear R users. > > I would like to remove all object from my workspace except the function I > have defined. However, is I use rm(list = ls()) everything is cleared. I was >

Re: [R] matrix manipulation question

Why not use complete.cases() ? data_no_NA <- data[, complete.cases(t(data))==T] Le 27 mars 2015 à 06:13, Jatin Kala a écrit : > Hi, > I've got a rather large matrix of about 800 rows and 60 columns. > Each column is a time-series 800 long. > > Out of these 60 time series, some have mi

Re: [R] matrix manipulation question

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,]12 149 12.6 74 5 3 [4,]18 313 11.5 62 5 4 [5,]NA NA 14.3 56

Re: [R] matrix manipulation question

Le 27 mars 2015 à 12:34, PIKAL Petr a écrit : > 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. > > Perhaps, but it happens that in the original message, the question dealt with a

Re: [R] matrix manipulation question

> >> 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 … Stéphane __ R-help@r-project.org mailing list -- To

Re: [R] matrix manipulation question

Le 27 mars 2015 � 18:01, David Winsemius 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 for you in this instance. What Peter D. was > criticizing was the construction : > > complete.cases(t(

Re: [R] matrix manipulation question

Many thanks, Stéphane Le 30 mars 2015 à 10:42, peter dalgaard a écrit : > >> On 30 Mar 2015, at 09:59 , Stéphane Adamowicz >> wrote: >> >> >> However, in order to help me understand, would you be so kind as to give me >> a matrix or data.frame exa

[R] ANOVA and permutation tests : beware of traps

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+1:3), F=c(rep("A",3), rep("B",3 Y F 1 1 A 2 2 A 3

[R] Rép : ANOVA and permutation tests : beware of traps

I am not the only guy who does not find the trap obvious ... Thus, my final question remains : How can we evaluate the reliability of CRAN packages that propose randomization (or bootstrap) methods ? Cheers, Stéphane ___ Stéphane Adamowic

[R] minor tick marks

marks in-between the 3 major ticks obtained with the above command. The "minor.tick" function in library Hmisc gives an error when applied to log axes. Any solution ? Stéphane _____ Stéphane Adamowicz INRA, unité PSH domaine St Paul, site agroparc