similar to: Grouping multiple runs of multiple datasets in lattice's xyplot

Hi: ( A bug in my example code was pointed in the post I sent out earlier today, so I am reposting with the fixed example code) 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

Happy New Year to all R users! I have two short questions concerning a xyplot with a color key: 1) How do I properly place (align) the color key beside the xyplot? As you can see from the code listed below, the placement of the color key is not correct. I would like the upper and lower end point of the color key to be perfectly aligned with the upper and lower line of the xyplot. Adjusting

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

How do I completely remove the first column? (x <- matrix(c(1, 44, 124, 80, 254, 70, 190, 0, 2, 35, 110, 70, 240, 73, 216, 0, 3, 41, 114, 80, 279, 68, 178, 0, 4, 31, 100, 80, 284, 68, 149, 0, 5, 61, 190, 110, 315, 68, 182, 1, 6, 61, 130, 88, 250, 70, 185, 0, 7, 44, 130, 94, 298, 68, 161, 0, 8, 58, 110, 74, 384, 67, 175, 0, 9, 52, 120, 80, 310, 66, 144, 0, 10, 52, 120, 80, 337, 67, 130, 0, 11,

Hello, It's an alternative to use SAS by function in R? I want to plot d histograms by plot.from example bellow: Thank you! plot d 1 1 16.3 2 1 25.0 3 1 57.8 4 1 17.0 5 2 10.8 13 2 96.4 17 3 76.0 18 3 32.0 19 3 11.0 20 3 11.0 24 3 106.0 25 3 12.5 21 4 19.3 22 4 12.0 26 4 15.0 27 5 99.3 32 7 11.0 36

hi guys..please help me with this i am working on two data frames one goes like this: DF1 Sample_id RepairHours Denatured Dose ZeroMean FourtyFiveMean NinetyMean 1 SDM071 0 1 B 60.5 19.0 45.0 2 SDM071 1 1 B 46.0 23.0 42.5 3 SDM071 2 1 B 52.5 24.0 40.0 4 SDM071

Dear list, I've been trying this for a few hours and I just don't understand how lattice works with groups and subscripts. Consider the following example, > xx <- seq(1, 10, length=100) > x <- rep(xx, 4) > y <- c(cos(xx), sin(xx), xx, xx^2/10) > fact <- factor(rep(c("cos", "sin", "id", "square"), each=100)) > fact2

Dear all, I'm routinely using lattice and ggplot2, I wish to create a lattice theme that looks not too dissimilar to ggplot's defaults so I can include both graphs in a document with a consistent look. To illustrate my questions, consider the following example: > library(ggplot2) > library(lattice) > > # example data > x <- seq(0, 10, len = 100) > y1 <-

Etimados Necesito llevar estos valores a un csv, pero exclyendo los numeros de orden que aparecen (como ejemplo 1 2 3 4 5 6 7... 146 147 148 149 ) ?cual es el procedimiento en R? saludos José adjunto el archivo 1 2 3 4 5 6 7 8 9 10 398.25016 314.53157

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 users, I would like to plot several histograms superimposed on the same panel with different colors, with superimposed polygons appearing with transparency effects. I also want estimated densities to appear on the same plot. For several reasons, including that I like it, I want to use the lattice package. I have several questions regarding the use of the 'histogram' function with a

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

With some help from those with expertise on this list, I managed to produce a plot using trellis that looked like I wanted it to look. Now, I need to take the same plot and make the lines on it color, but I want to specify the color for the lines myself. I've managed to make the key use the colors I want. I've managed to make the symbols of the actual plot use the colors I want. But I

Hello, I have a script in R language that makes sorting using the order() method of R language. What I need is to reimplement this method in any other language (PHP, Perl, Python, Java maybe). First I tried to reimplement it in php, here is some numbers that i need to sort: 1,2,3,4,5,6,7,8,9,10,300,231,11,12,0,1 R language: n = c(1,2,3,4,5,6,7,8,9,10,300,231,11,12,0,1) n [1] 1 2 3 4 5

This is day one on R for me, I am trying to figure out how to do simple computations. For example I have a data set with 200 observations. I am trying to compute the mean and variance in r for 1:25 (first 25 observations); 1:50 (first 50 obs) ; 1:100th observation etc. Here is the dataset: Id value 1 2.2338 2 3.13597 3 1.98685 4 4.35593 5 2.43963 6 4.20262 7 3.12131 8 4.79583 9 3.13937 10

Dear all I am a BEGINNER and have R on my Mac. I saved my excel file as .txt file, I have just one column with first row as the column name. My file when read by R looks like this. After reading the table I try to make a histogram by hist(dbh), it says object dbh not found. What am I doing wrong? thanks dbh 1 11.53 2 16.05 3 7.36 4 16.05 5 8.66 6 12.74 7 22.93 8 7.55 9

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

Dear useRs, I have a longitudinal experiment with several treatment groups, ~20 subjects per group, ~6 timepoints and a continuous dependent variable. I have been successfully been using lattice::xyplot with this data. However, I have been stumped with a particular application of it. I would like to use xyplot on my data, broken into treatment groups with the groups argument, using

Hi, Try this: #mat1 is the data res<-do.call(cbind,lapply(seq_len(nrow(mat1)),function(i) {new1<-do.call(rbind,lapply(seq_len(nrow(mat1[-i,])),function(j) {x1<-rbind(mat1[i,],mat1[j,]); x2<-(abs(x1[1,1]-x1[2,1])*abs(x1[1,5]-x1[2,5]))+(abs(x1[1,2]-x1[2,2])*abs(x1[1,6]-x1[2,6]))+(abs(x1[1,3]-x1[2,3])*abs(x1[1,7]-x1[2,7]))+(abs(x1[1,4]-x1[2,4])*abs(x1[1,8]-x1[2,8]))}));new1}))

Estimados ¿Los datos están en una lista o en un data.frame? Yo a eso lo supe hacer pero desde un data.frame a csv, lógicamente hay mucho gusto personal, técnicamente no debería haber inconvenientes. Javier Rubén Marcuzzi De: Isidro Hidalgo Arellano Enviado: jueves, 23 de marzo de 2017 10:19 Para: r-help-es en r-project.org Asunto: Re: [R-es] ayuda Si no recuerdo mal, la función