similar to: Simple effects with Design / rms ols() function

Hi, i have big trouble with office 2007, powerpoint can't show flash objects this is the output of wineconsole: Code: rr:ole:apartment_getclassobject DllGetClassObject returned error 0x80004002 err:ole:CoGetClassObject no class object {d27cdb6e-ae6d-11cf-96b8-444553540000} could be created for context 0x3 err:ole:TLB_ReadTypeLib Loading of typelib

How can I extract the adjusted R^2 value from an ols object (using rms package)? library(rms) x <- rnorm(10) y <- x + rnorm(10) ols1 <- ols(y ~ x) Typing "ols1" displays adjusted R^2 among other things, but how can I assign it to a variable? I tried str(ols1) but couldn't see where to go from there. Thanks, Mark Seeto

Hello, I have a question about the ?plot.predict? function in Frank Harrell's rms package. Do you know how to superpose in the same graph the prediction curve of ols and raw data points? Put most simply, I would like to combine these two graphs: > fit_linear <- ols (y4 ~ rcs(x2,c(5,10,15,20,60,80,90)), x=TRUE, y=TRUE) > p <- Predict(fit_linear,x2,conf.int=FALSE) > plot (p,

Hello, I have a couple of questions about the ols function in Frank Harrell's rms package. Is there any way to specify variables by their column number in the data frame rather than by the variable name? For example, library(rms) x1 <- rnorm(100, 0, 1) x2 <- rnorm(100, 0, 1) x3 <- rnorm(100, 0, 1) y <- x2 + x3 + rnorm(100, 0, 5) d <- data.frame(x1, x2, x3, y) rm(x1, x2, x3,

Dear R help, I'm having some trouble with model formulas for the ols function in the rms package. I want to have two variables represented as restricted cubic splines, and also include an interaction as a product of linear terms, but I get an error message. library(rms) d <- data.frame(x1 = rnorm(50), x2 = rnorm(50), y = rnorm(50)) ols(y ~ rcs(x1,3) + rcs(x2,3) + x1*x2, data=d) Error in

I am attempting to graph 12 months of temperatures, delineate the months with a vline and place the names of the months at the top of the graph. So far I have gotten everything to work except the names, despite getting a similar graph to work yesterday the day before yesterday with Baptise A's help. Can anyone suggest what I am doing wrong. Data set is below code. Thanks. Code

I had a problem annotating a graph last year ( see http://n4.nabble.com/Putting-names-on-a-ggplot-td907158.html#a907158 for the discussion) Stefan (smu) provided a solution using annotate(). However I apparently did not update the graph file and,now, when I go back to the thread and try to use Stefan's solution it does not seem to work although I am sure that it did then. The problem

Hi I have a problem with Windows Server Ent (and Std) 2008 x64 running on IBM Blade Center. I can add it to the Samba domain but when I restart it, it comes to "Applying computer settings..." and if I connect with rdesktop I can see a screen saying "Please wait for the group policy client" and after some minutes it restarts. I can boot it in Safe mode, remove from domain

Putting names on a ggplot Can anyone suggest what I am doing wrong here. I am plotting daily temperatures at Ottawa Ontario for 2008 broken down by months, I seperate them by lines and want to put the names of the months at the top of the chart ( with in the graphing area) Everything is working as I want until I try to add the names of the months. I did something similar a few days ago and I

I might be sorry for asking this question :-) I have two equations and I tried to estimate them individually with "lm" and "gls", and then in a system (using systemfit) with "OLS", "WLS" and "SUR". Quite surprisingly (for myself at least) the results are identical to the last digit. Could someone (please!) give a hint as to what am I

Hi, I would like to know if anyone has any idea of how to run an OLS with constraints? thank you Soyoko ______________________________________ Ms. Soyoko Umeno Graduate Research Assitant for the Illinois-Missouri Biotechnology Alliance (IMBA) at http://www.imba.missouri.edu/ Ph.D. Student at the Department of Agricultural and Consumer Economics at the University of Illinois at Urbana-Champaign

Hi to all, In other statistical software, such as Eviews, it is possible to regress a model with the Least Squares method, assuming that the residuals follow an AR(q) process. For example the resulting regression is something like y = 1.2154 + 0.2215 x + 0.251 AR(1) How is it possible to do the same in R? Thank you very much in advance, Constantine Tsardounis http://www.costis.name

Hi, I am trying to fit an AR model, maximum order =4, order selection criterion is aic. I wonder why these two give different results: m1<-ar.ols(x, aic=TRUE, method="ols", order.max=4) m1<-auto.arima(x,d=0, D=0, max.p=4, max.P=0, max.q=0, max.Q=0, ic="aic") Could they both use the function predict to do forecasting? Is there any function that works better?

Hello everybody! I am currently using the quantreg package on R 2.2.1. for my diploma thesis and want to create plots with plot.summary.rqs, which should work like this: Usage: plot.summary.rqs(x, nrow=3, ncol=2, alpha = 0.1, ols = TRUE, ...) Arguments: x: an object produced by rq() fitting nrow: rows in mfrow ncol: columns in mfrow alpha: alpha level of

Hi, I have 142 observations off different variables and I'm trying to do a OLS. And I get this error. Any Ideas ? > f <- ols(lnmigr3~popden78+income+modern+spareha+rain) Error in La.chol2inv(x, size) : size cannot exceed nrow(x) = 1 D. ----------------------------------------- Stay ahead of the information curve. Receive GIS news and jobs on your desktop daily. Subscribe today

Hi folks! Does anybody know how to use the OLS function in fMultivar to do dynamic regression? I've tried specifying lags in OLS using a data series created in fSeries and it doesn't seem to work. I've done dynamic regression using dyn$lm and I was wondering how to accomplish the same thing using the OLS function from fMultivar. Thanks! John [[alternative HTML version

Hi, I was hoping to clarify the exact behavior associated with this incantation: validate(fit.ols, method='cross', B=50) Output: index.orig training test optimism index.corrected n R-square 0.5612 0.5613 0.5171 0.0442 0.5170 50 MSE 1.3090 1.3086 1.3547 -0.0462 1.3552 50 Intercept 0.0000 0.0000 -0.0040 0.0040

dear R wizards: apologies for two queries in one day. I have a long form data set, which identifies about 5,000 regressions, each with about 1,000 observations. unit date y x 1 20060101 <two values> 1 20060102 <two values> ... 5000 20081230 <two values> 5000 20081231 <two values> I need to run such regressions many many times, because they are part of an

Dear R users, Please let me know how to plot the forecast in such a model: First I do it simple with ARIMA model that works ok with the codes provided to me at the lecture: arima<-arima(HCPIlong, order=c(1,1,0)) arima.predict<-predict(arima, n.ahead= 5 ) ts.plot(HCPIlong,arima.predict$pred,lty=1:2, main="Forecast of HCPI") But I need to include the additional variable in my

Hello, My name is Pedro and it is nice to meet you all. I am having trouble understanding a message that I receive when use function ar.ols from package stats, it says that "Warning message: In ar.ols(x = dtb[2:6966, ], demean = FALSE, intercept = TRUE, prewhite = TRUE) : model order: 2 singularities in the computation of the projection matrix results are only valid up to model order 1,