similar to: Density plots

Dear All, I want to create a dataset for a NONMEM simulation. I have a dataframe with individual PK parameters and want to create a dosing sceinario in a second dataframe. I want to merge them both so that every individiual's PK parameters are combined with the dosing scenario into one. I do not have a common variable to merge and cbind is giving error that lengths are different. I

Dear group, I am trying to prepare a NONMEM friendly dataset for population PK analysis. My patient IDs are 10 digit long and NONMEM is losing precison and rouding the last couple of digits. I need to generate unique Patient IDs fromt he current 10-digit IDs. Ihave total 250 subjects so I appreciate if anybody can suggest me a way to code this in R. Regards, Ayyappa [[alternative HTML

Dear Group, I am working with a large dataset where I need to select for each unique id the the unique lastpk row. Here is a sample subject: id wtdt wt lastpk 64050256 2010-09-18 275 2010-09-16 64050256 2010-09-19 277 2010-09-18 64050256 2010-09-20 272 2010-09-18 64050256 2010-09-21 277 2010-09-18 I want the result as:

Dear R group, I am trying to plot uisng a for loop. Here is the script: for (i in unique(cfn$ID)){ plot(cfn$TIME[cfn$ID==i],cfn$DV[cfn$ID==i],pch=16)} I could access only the last plot of the series and cannot go back to see all the plots. I appreciate your help in resolving this issue and also please suggest how I can export the plots as a pdf or other format files for publication purposes.

Dear Group, I have a problem with time date formatting. I have Date and Time in different columns in a .csv file and want to have a column with Date and Time together. I could format the date into the right mode using strptime and as.Date functions. I am not able to do that with TIME column. I appreciate your help in solving this issue. Currently the TIME column is in character mode.

Dear Group, I have the following dataset: ID REPI DV CONC SS 1 1 156.84 116 0 1 2 146.56 116 0 1 3 115.13 116 0 1 4 207.81 116 0 1 5 129.53 116 0 1 6 151.48 116 0 1 7 158.95 116 0 1 8 192.37 116 0 1 9 32.97 116 0 1 10 151.66 116 0 I want to calculate the percentile of each CONC within ID=i and add as a column

Hi all, I'm interested in doing a multiple density plot on a number of columns in a dataframe. >DF lineA.1 lineA.2 lineB.1 lineB.2 r1 5.355354 6.665575 10.288498 11.74750 r2 3.643415 5.427600 11.407112 13.97065 r3 5.813674 6.438502 9.628871 11.57456 r4 5.241340 5.125049 10.456221 12.35381 r5 4.640885 8.635518 8.344704 11.98484 r6 4.559852 6.416171 10.419599 10.89247 r7

Dear R community, I am using densityplot (lattice package) for a large dataset and wish to print it to a jpeg (the pdf is huge). R crashes consistently. Am I doing it wrong or is densityplot incompatible with jpeg? I work on a Mac, R 2.7.0. > require(lattice) > jpeg("test.jpeg") > d[1:10] [1] 0.700218 0.700175 0.700357 0.700847 0.698286 0.701520 0.698158 0.699300 0.698819

Is there any way of adding text to a density plot? I have had a go using the text() function but I think the error is because this function doesn't work with densityplot(). Alternatively, I understand I can achieve pretty much the same result if I plot a density kernel estimate using plot() (which allows text()), but I do prefer densityplot(). Also, is it possible to specify the dimensions

I have a data set that looks like this: dene <- data.frame(length = c(35,32,33,34,41,40,46,35,41,40,45,36,38,37,39,40,42,42,42,43,44), sex=c(1,1,1,1,2,2,2,1,2,2,2,1,2,2,2,2,2,2,2,2,2)) I would like to plot the density (frequency of occurrence) of each length class but I want to have different colors for sex. I used the following: library(sm) sex.f<-factor(as.factor(dene$sex),levels=c(1,2),

Suppose you have the following code: ########## Start code########## data(Chem97, package="mlmRev") densityplot(~gcsescore | factor(score), groups=gender, data=Chem97, auto.key=TRUE, plot.points=FALSE, ref=TRUE, panel=function(x,...){ panel.densityplot(x,...) median.values <- median(x)

Hi, Is it possible to remove the points at the base of a density plot?I would like to keep only the curves of the plot, not the points. Thank you. Marie-Helene HacheyM.Sc. studentUniversite Laval, Quebec

Hello, I am try to make a density plot where plots are stacked like the one found here: http://dsarkar.fhcrc.org/lattice/book/images/Figure_14_03_stdBW.png I am facing problems, however. Using the code example below, I'd like to generate a separate panel for each val of id2. Within each panel, I'd like to have individual histograms each on separate lines based on the value of id1. ?Note

Greetings. How can I insert gridlines in the following density plot call? Must one compose a panel function? 'data.frame': 46 obs. of 2 variables: $ fallrates: num 5.2 7.1 7.1 9.8 3.7 7.5 5 6.2 1.5 2.9 ... $ prepost : Factor w/ 2 levels "post","pre": 2 2 2 2 2 2 2 2 2 2 ... library(lattice) densityplot(~fallrates, groups = prepost,

Hello R-community, I want to generate stacked density plots in lattice. My data consist of a numeric variable ('pid') that is measured in different individuals ('id'), which can be divided in two types ('type') and the measurements were repeated a different time points ('day'). I read in the Lattice book that this can be done using the 'flowViz'

Hi r-sers, I have a data of relative frequencies for the interval of 0-20, 20-40,...380-400.  I would like the two data on the same graph using the same x-axis label.  My question is how to get a smooth curve using kernel density code if it possible for this data.   > cbind(rel_obs,rel_gen)           rel_obs rel_gen  [1,] 0.000000000  0.0000  [2,] 0.092534175  0.0712  [3,] 0.105152471  0.1092

I have been using the ECDF function in the Hmisc package to produce cumulative distribution function plots. The problem is that for small datasets the steps "look bad" (not my characterization but from the client). Is there a way to get the same information but smoothed? I have tried the densityplot (lattice), which gives a smoothed line, but this does not give the cumulative density.

Hi, A simple question I hope. I wish to add a single vertical line to a plot with several density plots. Here is a simplified example. ############ thedata <- data.frame(x1=rnorm(100,1,1),x2=rnorm(100,3,1)) #create data thedata.m<-melt(thedata) densityplot(~value, thedata.m, groups=variable,auto.key=list(columns=2)) #this gives the two density plots ######### what I wish now is to add a

Hi! I have used the following command: densityplot(~PV1CIV, groups=SGENDER, data=ISGFINC2, lwd=2, col=1, lty=c(1,2), pch=c("+","o"), key=list(text=list(lab=levels(ISGFINC2$SGENDER), col=1), space="bottom", columns=2, border=T, lines=T, lwd=2, lty=c(1,2), col=1), ref=T, plot.points=F) to produce a lattice density plot presenting the distribution of

I'm not certain I am using the lattice plot correctly here. Below is reproducible code. Suppose I have two data frames, such as: set.seed(1234) datA <- data.frame(condition = gl(3, 100), scores = c(rnorm(100), rnorm(100, 1,1), rnorm(100, 2,1))) datB <- data.frame(condition = gl(3, 1000), scores = c(rnorm(1000, 3,1), rnorm(1000, 4,1), rnorm(1000, 5,1))) I would like to plot the