similar to: Grouping multiple runs of multiple datasets in lattice's xyplot (with fixed example code)

Hi: I don't know if my explanation below is clear, so afterwards, I wrote a small a self contained annotated example that generates two plots. I execute simulations with different parameters settings that create several datasets, and for each parameter setting (or dataset) I can obtain different results by choosing a different random seed. I am stuck grouping data from the datasets and runs

Hi: I am coding some interactive interface using an xyplot from lattice. When a user clicks on a panel of the xyplot, a simulation is executed and the resulting data is plotted on the corresponding panel. The problem is that I start with an empty data frame and only fill it as the user request data from simulations. And, I have found it impossible to create a conditional plot that contains panels

Hi: I would like to find out the panel of a xyplot matrix where a mouse clicked. I know this functionality is already bundled in trellis.focus but I can't use it because I am coding a stand alone application in Java using with GDCanvas as a graphics device. I tried calling trellis.focus from Java with: re.eval("t = trellis.focus()")); However it did not work for an embedded

Description of what I am trying to do: I am using the xyplot code below to plot the variable ?MeanBxg? against the variable ?PercentVarExplained? for all 9 possible combinations of variables ?bdg? and ?bdx?. Within each of these 9 scenarios I am plotting a separate line for each of up to 9 different methods that I used to estimate the variable MeanBxg. These methods are identified by the numeric

Hi: (Tried to find a bug report about this issue, but was unable to find it, let me know if this is a known issue) I have been working on an interface to highlight xyplot panels on mouse overs in JavaGD but I have stumbled with what seems to be a bug in trellis.focus. I am using R 2.8 with lattice 0.17-15 *** To replicate the bug: 1.- display an xyplot. For example, from the xyplot help page:

Dear community, I am looking for a possibility to draw 'regression lines' instead of 'smooth' lines in grouped xyplots. The following code should give you a small example of the data structure. library(lattice) data(Gcsemv, package = "mlmRev") # Creates artificial grouping variable ... Gcsemv$Groups <- ifelse(as.numeric(as.character(Gcsemv$school))>65000,

Hi! I have a dataframe like this: dat=data.frame(Age=c(rep(30,8),rep(40,8),rep(50,8)),Period=rep(seq(2005,2008,1),3),Rate=c(seq(1,8,1),seq(9,16,1),seq(17,24,1)),Sex=rep(c(rep(0,4),rep(1,4)),3))attach(dat)dat    Age Period Rate Sex1   30   2005    1   02   30   2006    2   03   30   2007    3   04   30   2008    4   05   30   2005    5   16   30   2006    6   17   30   2007    7   18   30   2008  

Dear listers, Let use say that I want to display the Pixel dataset (in the NLME library) xyplot(pixel~day|Dog, groups=Side, data=Pixel, panel=panel.superpose, panel.groups=panel.xyplot, type="b", pch=16) (I know, there are better examples, ...) Now, how could I change the colours of the symbols accordingly to another factor changing within subject and side form time to time? (let us

Hi: I am a newbie using grid and lattice. I want to update a xyplot without redrawing and I was wondering if there is a way of adding a point to a pointsGrob ? For example, take the example from the "R Graphics Book" page 218-219: grid.newpage() angle <- seq(0, 2*pi, length=21)[-21] x <- cos(angle) y <- sin(angle) xyplot( y ~ x, aspect = 1) Lets say I take the pointsGrob

Hi all, Using xyplot I want to print to Y variables (y1, y2) versus X, conditional on the group. How can I obtain a line (type="l") for one relationship (ie. y1 ~ x) and points (type="p") for the other (y2 ~ x) ? library(lattice) # create some sample data df<-data.frame(group=as.factor(c(rep("a",4), rep("b",4))), # grouping variable for conditional

using either one of the following codes: xyplot(X ~ time | center, type="l", panel=panel.superpose, groups=subject, col = treatment) xyplot(X ~ time | center, groups = subject, panel = function(x, y, ...){ panel.superpose(x, y, col = treatment, type = "l", ...) }) I get two different colours for the lines by these colours do not match the corresponding treatment

Hi, I created a xyplot with a three-column layout. As suggested by Deepayan I tried to put titles to each column by using xlab.top. Unfortunately, as my y-axis scale relation = "free", the column titles are not centered at the three x axes anymore. Any idea how to center the titles? #Example: require(lattice) #require(latticeExtra) e <- data.frame(a = c(1:30), b = c(1:10, 20:29,

Hi, I've got the following problem which I cannot think of a solution right now: if got a lattice xyplot in black and white and a grouping variable with many (more than 8 values) and I plot it as regression lines (type="r"), just like this one (not reproducable but that's I guess not the point here): xyplot(log(AGWB) ~ log(BM_roots), data=sub_agwb_data, groups=species,

Dear list, I have 2 data sets such as: > head(calib20090730b) color XR XG XB L1_1 L1_2 L1_3 1 1 87 55 62 116 124.0 100 2 2 164 125 134 204 203.0 153 3 3 118 64 98 157 101.0 139 4 4 65 72 72 102 111.0 135 5 5 142 95 112 176 161.5 133 6 6 89 113 112 125 128.0 195 > head(refpanel) color B G R NIR1 NIR2 1 1 0.07 0.10 0.17

Hello, I am fairly new to R am stumped on how to get the xyplot function in the lattice package to produce a scatter plot of count data versus time, such that the count data represent 8 different groups, and the plot produced has 8 unique "smoothed" lines for the different groups. This is the closest I can get to the desired plot: xyplot(masmean ~ mas, data = Pre96CR.masmeans, groups

Hi all, I realize this is asking a lot of lattice, but I want to add a second y axis inside a xyplot and have y1 and y2 have different ranges. Given dat below, I can add a second y axis by overlaying a new plot with par(new=T) and label axis 4 with standard graphics. I've seen an example for doing something similar in xyplot even though Deepayan has indicated that lattice isn't the right

Hi folks, I need some help in customizing the abline() function to be used in a lattice plot. I have attached a reproducible example below. I need help in the following snippet: disc <- xyplot(cnt_gt50pct_disc ~ week_num|sku_num, data=DF,type = "h",lwd=2,panel = function(...) { panel.abline(v = 8, lty = 2) panel.xyplot(...) }) Is there a way I can give

Hi, I've lost my mind on it... I have to scatterplot two vectors, grouped by a third variable, with two different dimensions according to whether each cell line in the plot is sensitive or resistant to a given drug, and with a different color for each of 9 tissues of origin. Here's what I've done:

Hi, I'm trying to plot many (x, y) data files using the xyplot function from the lattice package. Each file can be classified by set name (s1, s2,...) and data type (A, B, ...). Each data set contains a different number of files. If the data is grouped by type or set and visualized as line plot with xyplot(type='l'), the first and last point are joined into a closed line that

hello, is there a way to control figure margins using package lattice, similarly to parameters mai/mar (which presumbly works only for figures of package graphics)? thanks!‎ [[alternative HTML version deleted]]