search for: mypr

...a data frame, but the excel object is not nearly as nice looking and easy to manipulate (and apply templates to) as an actual PowerPoint table. I'd appreciate any help I can get. Thanks! -Saar Sample code to create the presentation and the table: require(R2PPT) # initialize the presentation myPres<-PPT.Init(visible=TRUE) # create title slide myPres<-PPT.AddTitleSlide(myPres,title="Fancy Title",subtitle="Fancy SubTitle") # create and select a table slide myPres$Current.Slide <- comInvoke(comGetProperty(myPres$pres, "Slides"),"Add", comGetPr...

...t even the example works for me: ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14) trt <- c(4.81,4.17,4.41,3.59,5.87,3.83,6.03,4.89,4.32,4.69) group <- gl(2,10,20, labels=c("Ctl","Trt")) weight <- c(ctl, trt) my.df<-data.frame(weight=weight,group=group) myPres<-PPT.Init(visible=TRUE) myPres<-PPT.AddBlankSlide(myPres) myPres<-PPT.AddDataFrame(myPres, df = my.df,row.names=FALSE,size=c(30,100,100,300)) myPres<-PPT.Present(myPres) It adds the table but doesn't even recognize the columns. I would appreciate any tip, tutorial or example. I...

Hola tengo q hacer un trabajo, donde me piden q todas las salidas q haga sean en Power Point (graficos, tablas, etc). Para eso habia empezado a leer algo del paquete R2PPT, pero la verdad es q hay cosas q no entiendo de este paquete. Queria saber si alguien estuvo trabajando con el y obtuvo buenos resultados o si han usado otro paquete para hacerlo. Por ultimo una pregunta: desde Sweave se

...a, panel = function(x,y) { panel.xyplot(x, y) panel.superpose(???) # Needs more here } ) I also like to plot on each panel (there is one Subj per panel) a continuous curve with predictions that I can calculate from a rather complicated function: myPred <- (time, subj, dose) { returns predicted value of Conc for a given time, subj and dose } The predicted curves are different for each panel. How do I plot the predictions? I have tried to add panel.superinpose in the xyplot portion but can't link to the myPred function. I also kno...

...ining data is sampled randomly from the complete data set. The "copy-pasted" code below illustrates: > data <- load.data() > mytree <- run.tree(data) > mypred <- gen.predictions(mytree, data ) Error in pred1.tree(object, tree.matrix(newdata)) : corrupt tree...

...#fit some linear model to random data x=matrix(rnorm(100*3),100,3) y=sample(1:2,100,replace=TRUE) mydata <- data.frame(y,x) mymodel <- lm(y ~ ns(X1, df=3) + X2 + X3, data=mydata) summary(mymodel) #create new data with 1 missing input mynewdata <- data.frame(matrix(rnorm(100*2),100,2)) mypred <- predict(mymodel, mynewdata) Thanks in advance for your help! Axel. [[alternative HTML version deleted]]

Hi, I created a logistic regression model using the glmnet package. This model is of class "glmnet" or "lognet". I wanted to plot a calibration curve for this model using the calibrate() function from rms package, but the objects used are different, rms requires a fit from lrm(). Is there another function for getting the calibration plot for this glmnet object, or can anyone

Could you just use lines(newX, myPred, col=2) -----Original Message----- From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch]On Behalf Of Paul Johnson Sent: Thursday, September 23, 2004 10:3 AM To: r help Subject: followup: Re: [R] Issue with predict() for glm models I have a follow up question th...