search for: thickness

...ent and also to GLMM, so please don't be irritated if some questions don't make sense. I am using R 2.0.0 on Windows 2000. I investigated the occurrence of insects (count) in different parts of different plants (plantid) and recorded as well some characteristics of the plant parts (e.g. thickness). It is an unbalanced design with 21 plants with approx 25 parts each. Preference of the insects for a certain characteristic is usually unimodal. As far as I understood, I have to use a model with random intercepts and slopes, because the observations within each plant are not independent. So f...

Hello Experts, how do I reformat a data frame in the way described below: df1: ID desc resist thick temp 1 4711 100 5 20 2 4712 101 4 21 3 4711 99 3 19 4 4712 98 7 22 TO df2: id desc Param Value 1 4711 resist 100 1 4711 Thick 5 1 4711 temp 20 2 4712 resist 101 2 4712 Thick 4 2 4712 temp 21 3

Hi, I want to display some contour labels. It works well, but the thickness of the label is to low. I tried the "labcex" command contour(x,y,z, labcex=2) But only the size is rising and not the thickness of labels. Only if i set the value to "labcex=10" the thickness is good, but the size is to big, so i can't see anything ;) Is there any command...

...this by using a bigger smaller/bigger value for the ranges of xlim and ylim, but is there any option/way to fix that? I do not like to set xlim=c(-0.001,1.001) and ylim=c(-0.001,1.001) which would solve the problem but this is somehow "dirty". I couldn't find an option for the thickness of the tickmarks (that would solve the problem as I think the tickmarks-thickness is just bigger than the thickness of the axes) Any help appreciated marius

Hello, I am trying to increase the thickness of the axis in plot() without reverting to the use of paint programs i see posts on that topic for the xyplot function but want to see if i can do it with plot() because i've already setup my graph script using that i thought i could use axis() function and specify lwd="thickness" o...

Here's a simple example: x <- 1:5 plot(x,x^2) lines(x,x^2) points(x,x,cex=2) lines(x,x,lw=3) legend("topleft",legend=c("y=x^2","y=x"),pch=1,pt.cex=1:2,lw=c(1,3)) The thickness of the circles in the legend changes with lw. If you change the lw argument in legend to lw=c(1,1) then the thickness of the circles goes back to normal. How can I make the above legend so that both the lines and the plotting characters match what is in the graph? [[alternative HTML version del...

Hi all, This is more a question in statistics, but I hope to get also the R practice for my question: I have an ancova model where the response variable is flowering (plant has a flower = 1, no flower = 0). The explanatory variables are leaf length, leaf thick (both continuous variables), and soil type (factorial with three levels): >

Dear People, In a qqplot I am doing, I get lines/points that are very thick. I've tried setting the lwd variable to 0.1, but it doesn't seem to have any effect. Also, I have set the value of lty to dashed, but I still get dots. The command looks like qqplot(cdf.inv(seq(0,1,length=size),theta,pos,len),empmargdistvec(len,theta,pos,size), xlim=c(-theta,theta), ylim=c(-theta,theta),

My question relates to problems that I'm having matching lme and lmer examples in P&B. using Matix 0.995 In the Oxide example in p167-170 I can't get the level 2 coefficient estimates to match the fm1Oxide model in lme is data(Oxide,package="nlme") lme(Thickness~1,Oxide) which I translate in Lmer syntax to fm3Oxide<-lmer(Thickness~ (1|Lot)+(1|Lot:Wafer),data=Oxide) #or alternatively which gives the same result Oxide$LW<-with(Oxide,Lot:Wafer)[drop=TRUE] fm4Oxide<-lmer(Thickness~ (1|Lot)+(1|LW),data=Oxide) however if you look at say Lot 8, lme...

After a long and winding road (sorry but I'm a novice) I get to a final result which is quite close to what I need; nevertheless I would like to tweak a little further the xyplot so that I can get ***for each single panel defined by variable z*** a finer control over: -the x and y the limits: I would like to be the same for both axes; -the number of thick marks: again I would like to be same

Hi, I tried to use boxplot function. I am following the ?boxplot and can change the whisker box width using lwd parameter. However, when outline=TRUE, the thickness of the circle of the outliers is not proportionally changed when I change the line width of the whisker box. There must be another parameter for that. Unfortunately I don't know. please help and thanks much in advance. -- Waverley @ Palo Alto

Hi, I am unable to get the tick marks to appear thicker in plot. I have tried things like par(lw=2) but this only seems to affect other line thicknesses. The use of axes directly fixes the problem because lw = 2 applies to both the axis and the ticks. Is there is way of feeding a single parameter to plot or setting a par parameter to do this? I am using R 1.9.0 on a windows 2000 platform. Thanks, David

...as one of it is inputs as a random variable 'W' , with a standard deviation 'Sigm3LER', when i change the mean of this random variable 'Width', i expected the standard deviation output from d_f_norm to change respectively. here is the code i use Z0_extra <- function(W, Thickness,Height,Spacing) {  f <- function(vec) { calculate_Z0(vec[1],Thickness, Height,Spacing) }  tmp <- D_f_norm(f, means=c(Width), sds=c(Sigm3LER))  list(mean=tmp$mean ,sd=tmp$sd ) } calculate_Z0 <- function(W,Thickness, Height, Spacing) { Z0 <- sqrt((Resistivity/(Thickness * W))/(2*3.14*5...

...as one of it is inputs as a random variable 'W' , with a standard deviation 'Sigm3LER', when i change the mean of this random variable 'Width', i expected the standard deviation output from d_f_norm to change respectively. here is the code i use Z0_extra <- function(W, Thickness,Height,Spacing) {  f <- function(vec) { calculate_Z0(vec[1],Thickness, Height,Spacing) }  tmp <- D_f_norm(f, means=c(Width), sds=c(Sigm3LER))  list(mean=tmp$mean ,sd=tmp$sd ) } calculate_Z0 <- function(W,Thickness, Height, Spacing) { Z0 <- sqrt((Resistivity/(Thickness * W))/(2*3.14*5...

Dear all, Sorry to bother you, but I didn't find the solution in the R-help archive. I would like to change the thickness of stripes inside the barplot. Is there any solution to do that when using the barplot() fuction and the density option ? Or is there any other function ? Thanks very much for your help. Best regards. Gael. Gael Millot UMR 7147 et Universite Pierre et Marie Curie Equipe Recombinaison et instab...

...day + I(day^2) +Side , data = Pixel)) #Oxide # P&B(2000) p167-170 Oxide<-read.csv("Oxide.csv",header=TRUE); Oxide$Source<-as.factor(Oxide$Source) Oxide$Lot<-as.factor(Oxide$Lot) Oxide$Wafer<-as.factor(Oxide$Wafer) Oxide$Site<-as.factor(Oxide$Site) fm1Oxide<-lmer(Thickness~ (1|Lot)+(1|Lot:Wafer),data=Oxide) ) (fm2Oxide<-lmer(Thickness~ (1|Lot),data=Oxide) ) coef(fm1Oxide) [[alternative HTML version deleted]]

Hi! (a complete newby, but will not give up easily!) I was wondering if there is any way to decouple the axis and tick mark widths? As I understand they are both controlled by the lwd setting, and cannot be controlled independently? For example I might want to create major and minor ticks, which I now know how to do by superimposing two axes with different at settings, but what if I also wanted

Hi all,, Is it possible to set a thicker line for the box around the plots? (i.e. for the four axes) Something like lwd (lines) but for the box. Thanks juli -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the

Hi R users: How can I obtain with bwplot boxplots with bwplot whose box width will vary acording to other variable. bwplot(categ1~continuos|categ2,box.ratio=continuos2,data=data.base) But it doesn't work as I expected. Thank you for your help. Kenneth

...s appear in the same window; below the x-axis a hierarchy of factors shows which dot plot corresponds to which factor-level combination. Examples can be seen http://statsoft.com/support/blog/entryid/64/user-defined-variability-plots/ and http://www.public.iastate.edu/~wrstephe/stat495/GaugeRR_WaferThickness_JMPOutput.pdf By reordering the factor names in the function call, the user can reorder the factor level combinations on the graph, making it easier to do the visual comparisons of interest. The user should also have the option to draw line segments at factor level combination means/medians, and...