similar to: panel.lmline - are m, b, and r^2 accessible somehow?

Hi, I am trying to produce an xyplot with a regression line. The data should be represented as log/log but when I fit the lmline I receive an error message - the plot is fine without the log transformation, but the then the plot is meaningless. I know it must be something simple, but I just can't see it. Hope someone can help... Thanks. xyplot(log(Pk)~log(k),data=rwpk,cex=1,

Dear Sebastian Luque (and All R Users) With the following code I managed to plot different characters and regression lines for panels 2 ("Day of year 101") and >4 ("Days of year" 151, 157 and 172): xyplot(log(no.larvae)~age.cls|factor(day),data=mortal, layout=c(7,1),aspect=5/3, xlab="Age class (d)",ylab="Ln(Abundance)",

Dear All, I'm confortable with xyplot(...) and panel.lmline(...) statements (at least I thought I did :). I've used the following code to plot the decline in log-abundance of fish larvae (no.larvae) with age (age.cls, 4 to 27 days-old) for specific dates of sampling (day, 9 dates). I further plotted data with different colors and regression lines for ages 5-14 d and 17-23 d in a 7-by-1

I am wanting to generate panels showing scatterplots with the linear fitted line for two groups within each panel superimposed. I have two conditioning factors, "variable" and "Group" and I want separate panels for each level of "variable" with different symbols and "lmline"s for each level of "Group". However all observations for a group are

Hi, is it possible to reverse the order in which panel.lmline() or panel.smooth() operation in xyplot() ? This type of situation might occur when plotting some variable with depth, but the relation we want to describe is variable ~ depth, and not depth ~ variable, as the plotting formula would suggest. # an example: d <- 1:100 v <- d * rnorm(100) xyplot(d ~ v, ylim=c(100,0),

panel.lmline returns intercept and slope of y ~ x subsetted to the combination of conditioning factors given to xyplot in lattice. for instance: xyplot(Xvalues ~ log(Qvalues)|Tfac, data = df7, panel = panel.lmline) I am looking to find the equivalent formulation for lm() proper. If I do this: lmcal <- lm(Xvalues ~ log(Qvalues):Tfac, data = df7) Only one value of the intercept is returned.

Dear All, I need to produce a multi-panel plot where: 1) groups within panels receive distinct symbols; 2) a linear regression is fit to the entire panel, not the individual groups; 3) a common abline is plotted in each panel. Essentially I would like to merge the two plots below, but I can't seem to figure out how to call both lmline and abline, and also retain the grouping symbols.

Hello R Folks... Using the example below, I¹d like two of the panels to be plotted with type = ³p² but the third to be done with type = ³h². I can¹t use type = c(³p², ³p², ³h²) because this syntax applies all given types to every panel. I don¹t think I can use groups and distribute.type because these are intended for different styles of plotting within a single panel. As you can see, I tried

In the HistData package, I have a data frame, PearsonLee, containing observations on heights of parent and child, in weighted form: library(HistData) > str(PearsonLee) 'data.frame': 746 obs. of 6 variables: $ child : num 59.5 59.5 59.5 60.5 60.5 61.5 61.5 61.5 61.5 61.5 ... $ parent : num 62.5 63.5 64.5 62.5 66.5 59.5 60.5 62.5 63.5 64.5 ... $ frequency: num 0.5 0.5

Hi Everyone, I have uploaded a patch that allows one to successfully gather gcov/gcda coverage information on programs which unload shared libraries. It¹s a simple fix, just adding a few COMPILER_RT_VISIBILITY (i.e. __attribute__((visibility("hidden")))) in GCDAProfiling.c. Now, I¹d like to include a test program to demonstrate the fix. AFAICT, there seems to be a single test for

On Friday 17 September 2004 13:52, RenE J.V. Bertin wrote: > Hello again, > > I am doing regressions (using panel.lmline() (and panel.abline( > rlm(...))) ) inside a panel method which I pass to bwplot(). > > What I would like to do is create a boxplot of categorised data > (binned on the independent variable), and superpose a regression line > which is calculated using the

Hello R Folks... I have a list with the following structure: > str(df) List of 3 $ y : num [1:4, 1:1242] -0.005379 0.029874 -0.023274 0.000655 -0.004537 .. $ x : num [1:1242] 501 503 505 507 509 ... $ names: Factor w/ 4 levels "PC Loading 1",..: 1 2 3 4 I want to plot each row of df$y against df$x, and have each plot in it¹s own panel according to the levels of df$names.

Hi, This might be a simple problem but I don't know how to calculate a random variable density the way panel.histogram does it before it creates the actual density rectangles. The documentation says that it uses the density function but the actual code suggests that the hist.constructor function (which does not seem to be easily accessible). Any suggestion for computing the density values of

Hello, Is there a simple way of stacking/merging two dataframes in R? I want to stack them piece-wise, not simply add one whole dataframe to the bottom of the other. I want to create as follows: x.frame: aX1 bX1 cX1 ... zX1 aX2 bX2 cX2 ... zX2 ... ... ... ... ... aX99 bX99 cX99 ... zX99 y.frame: aY1 bY1 cY1 ... zY1 aY2 bY2 cY2 ... zY2 ... ... ... ... ... aY99 bY99 cY99 ...

1) I have a data that includes some "bad" data. I want to make a trellis plot where each panel contains a) A scatter plot of the "good" data b) A scatter plot of the "bad" data in a different color c) A best fit line of all the data, and d) A best fit line of the "good" data. I tried using xyplot and setting the "group" argument, but I'm

Dear r-help, I need to draw xyplot() graphs with several regression lines: one line for the whole range of x (the variable on the horizontal axis) and two additional lines for subranges of x. Is it possible to make first regression line (panel.lmline(x,y,...);) to be drawn on the whole graph and regression lines of the subsets to be drawn only over their subsets? I have defined

Hi Dieter and R community: I tried both of these three versions with ylim as suggested, none work: I am getting only single (pch = 16) not overlayed (pch =3) everytime. *vs 1* require(lattice) xyplot(Sepal.Length ~ Sepal.Width | Species , data= iris, panel= function(x, y, subscripts) { panel.xyplot(x, y, pch=16, col = "green4", ylim = c(0, 10)) panel.lmline(x, y, lty=4, col =

Hello all, I would appreciate your thoughts on a seemingly simple problem. I have a database, where each row represent a single record. I want to aggregate this database so I use the aggregate command : D<-read.csv("C:\\Users\\test.csv") attach(D) by1<-factor(Class) by2<-factor(X) W<-aggregate(x=Count,by=list(by1,by2),FUN="sum") The results I

I can't reach r-project.org at the moment so cannot check whether this is a known bug. > version _ platform i386-pc-mingw32 arch x86 os Win32 system x86, Win32 status major 1 minor 3.0 year 2001 month 06 day 22 language R The

Paul Welty wrote: > collection_select(:client, :company_id, @companies, :id, :name, { > :selected_value => 2 , :prompt => "Please select a company..." }) > > Returns a functioning SELECT element, but it won¹t select the second item. > (BTW, using the selected_value as a string doesn¹t work either) > > Am I doing something wrong, or is this impossible? >