[R] [nlme] How to calculate standard error of random effects in lme
Hi all, is there a way to calculate standard error of random effect from the estimated model in lme? Best Marcus [[alternative HTML version deleted]] __ R-help@r-project.org mailing list 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.
[R] Lattice: xyplot group title format
Dear all, if I plot a lattice xyplot like: library(lattice); require(stats); Depth <- equal.count(quakes$depth, number=8, overlap=.1) xyplot(lat ~ long | Depth, data = quakes) How can I manipulate the group title format (here: Depth)? Like the font size, position, etc. Best Marcus __ R-help@r-project.org mailing list 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.
[R] Several lattice plots on one page
Dear all,
I am trying (!!!) to generate pdfs that have 8 plots on one page:
df = data.frame(
day = c(1,2,3,4),
var1 = c(1,2,3,4),
var2 = c(100,200,300,4000),
var3 = c(10,20,300,4),
var4 = c(10,2,3,4000),
var5 = c(10,20,30,40),
var6 = c(0.001,0.002,0.003,0.004),
var7 = c(123,223,123,412),
var8 = c(213,123,234,435),
all = as.factor(c(1,1,1,1)))
pdf("test1.pdf", width=20, heigh=27, paper="a4")
print(plot(groupedData(var1 ~ day | all, data = df), main = "var1",
xlab="", ylab=""), split=c(1,1,2,4), more=TRUE)
print(plot(groupedData(var2 ~ day | all, data = df), main = "var2",
xlab="", ylab=""), split=c(1,2,2,4), more=TRUE)
print(plot(groupedData(var3 ~ day | all, data = df), main = "var3",
xlab="", ylab=""), split=c(1,3,2,4), more=TRUE)
print(plot(groupedData(var4 ~ day | all, data = df), main = "var4",
xlab="", ylab=""), split=c(1,4,2,4), more=TRUE)
print(plot(groupedData(var5 ~ day | all, data = df), main = "var5",
xlab="", ylab=""), split=c(2,1,2,4), more=TRUE)
print(plot(groupedData(var6 ~ day | all, data = df), main = "var6",
xlab="", ylab=""), split=c(2,2,2,4), more=TRUE)
print(plot(groupedData(var7 ~ day | all, data = df), main = "var7",
xlab="", ylab=""), split=c(2,3,2,4), more=TRUE)
print(plot(groupedData(var8 ~ day | all, data = df), main = "var8",
xlab="", ylab=""), split=c(2,4,2,4))
dev.off()
My problem is that the separate plots all have different sizes. (Some are tall,
but very small, or the other way around. The target is to have equally tall and
wide graphs. (The variables have different scales. Grouping does not work.)
Optimally, the plots would use the complete pdf page.
Any ideas how to adjust height and width?
Best
Marcus
__
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Re: [R] Count values in a dataframe with respect to groups
I am sorry for the typo, it is about counting two columns an skipping the NAs. How would I have to set the formula if I would have two columns to count (val1 and val2)? Betreff: Re: [R] Count values in a dataframe with respect to groups Try this: aggregate(val ~ grp, dta, length) On Fri, Oct 8, 2010 at 11:28 AM, Marcus Drescher wrote: Dear all, I am looking for a function to count values belonging to a class within a dataframe (and ignore NAs). grp = c(1,1,1, 1,2, 2,2) val = c(2,1,5,NA,3,NA,1) dta = data.frame(grp=grp, val=val) The result should look like: grp count 1 3 2 2 At the moment, I am trying to find a function for FUN in aggregate, but with no success. Can anybody help me? Thanks in advance. Marcus __ R-help@r-project.org mailing list 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. -- Henrique Dallazuanna Curitiba-Paraná-Brasil 25° 25' 40" S 49° 16' 22" O __ R-help@r-project.org mailing list 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.
Re: [R] Count values in a dataframe with respect to groups
Thanks! It works great. One more question: how would I have to set the formula if I would have the columns to count (val1 and val2)? Betreff: Re: [R] Count values in a dataframe with respect to groups Try this: aggregate(val ~ grp, dta, length) On Fri, Oct 8, 2010 at 11:28 AM, Marcus Drescher wrote: Dear all, I am looking for a function to count values belonging to a class within a dataframe (and ignore NAs). grp = c(1,1,1, 1,2, 2,2) val = c(2,1,5,NA,3,NA,1) dta = data.frame(grp=grp, val=val) The result should look like: grp count 1 3 2 2 At the moment, I am trying to find a function for FUN in aggregate, but with no success. Can anybody help me? Thanks in advance. Marcus __ R-help@r-project.org mailing list 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. -- Henrique Dallazuanna Curitiba-Paraná-Brasil 25° 25' 40" S 49° 16' 22" O __ R-help@r-project.org mailing list 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.
[R] Count values in a dataframe with respect to groups
Dear all, I am looking for a function to count values belonging to a class within a dataframe (and ignore NAs). grp = c(1,1,1, 1,2, 2,2) val = c(2,1,5,NA,3,NA,1) dta = data.frame(grp=grp, val=val) The result should look like: grp count 13 22 At the moment, I am trying to find a function for FUN in aggregate, but with no success. Can anybody help me? Thanks in advance. Marcus __ R-help@r-project.org mailing list 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.
[R] Several Lattice plots in one Plot
Hi all, I've been trying for hours, but I do not find a Solution. I want to plot 12 variables over time in separate diagrams in one plot/window using lattice. Two columns, six rows. I used print with the split command, but the graphics are getting really small. Can someone please help me. Following data example: dta = data.frame( day=c(1,2,3,4,5,6,7), var11=c(1,2,2,4,5,3,2), var12=c(1,2,2,4,5,3,2), var13=c(1,2,2,4,5,3,2), var14=c(1,2,2,4,5,3,2), var15=c(1,2,2,4,5,3,2), var16=c(1,2,2,4,5,3,2), var17=c(1,2,2,4,5,3,2), var18=c(1,2,2,4,5,3,2), var19=c(1,2,2,4,5,3,2), var10=c(1,2,2,4,5,3,2), var11=c(1,2,2,4,5,3,2), var12=c(1,2,2,4,5,3,2)) Any idea how I can plot varXX over day like xyplot(var11 ~ day, data=dta, type='b', scales=list(cex=0.5), xlab=NULL, ylab=list(cex=0.5)) and get readable graphs? Thanks in advance. Marcus __ R-help@r-project.org mailing list 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.
[R] How to calc ratios base on current and previous row?
Hi all, I want to calculate in each row a ratio based on number in the current row and the previous row. Is there a way to do this without for-loops because that is extremely slow. A B [1] 2 2 [2] 2 3 [3] 4 5,5 ... B2 = A2 + 0.5*B1 Thanks in advance. Best Marcus __ R-help@r-project.org mailing list 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.
[R] Means from selected columns in a data frame
Hi all, I have a dataframe with survey data. Now I want to calculate means from several but not all columns (e.g. a1, a2, a3) and save them in a new separate column (e.g. a). Like: a = mean(a1, a2, a3) Can someone help me or give me the right key word to look for? Thanks [[alternative HTML version deleted]] __ R-help@r-project.org mailing list 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.
