similar to: Saving non table object as text file with outputting preserved?

I'm trying to get code along the following lines to work: temp.name <- paste(TimePt,'df',sep='.') # invent a relevant name/symbol as a character string. assign(temp.name,IGF.df[IGF.df$TPt==TimePt,]) # this works. The relevant variable is now a data frame lm(b ~ Strain+BWt+PWt+PanPix, data=temp.name)) # this gives an error, namely Error in eval(predvars, data, env) : invalid

I'm getting an interesting problem. I can create/rename/delete/edit policies, but I can't change the security filtering or delegation settings. When I first open any policy, I get the following: "The permissions for this GPO in the SYSVOL folder are inconsistent with those in Active Directory. It is recommended that these permissions be consistent. To change the SYSVOL permissions

> > It was essentially my own mistake. After the Embedded C++ IDE crashed unexpectedly, > the .lib file was no longer present in the project settings (the project had not been saved) > so all the errors I got were caused by a missing .lib reference in the link stage! > I had to change my cross compiler target to "arm-wince-pe" because otherwise the > object/.lib files

I have a dell inspiron 8200 laptop running centos 4.1 just fine. I want to connect it to an external 32 inch LCD. This laptop is dual boot windows. I set windows up to 1024x768 and connected the LCD - it worked just fine. LCD max is 1333x768 I then booted Centos 4.1 and set X to be 1024x768 also. rebooted the laptop just ot make sure. I then connected the LCD and it says can't display

Hi list-people! Is there anybody who has expiriences with sms gateway on Centos? Our customer has a Siemens modem (connected via serial port) and finds any tool for sending and receving sms. I found something like gammu and smstools but I'm not sure with it.. Have you any tips? Thanks a lot! JJ.

Hello all, I know there have been some posts on this topic before, but I am very new to this, so I had some trouble decifering exactly what I have to do to get this working. I am trying to get a program which accesses the serial port to receive data from a 3 degree of freedom tracking device to work under linux. The GUI loads just fine, but then I get an error from the program (not WINE) that

Hello, everyone! I'd like to find out how I can do first log differences in a panel? (The Penn World Table data that's available in the PWT package) The regular diff() function ignores the country/index/"panel unit", with depressing results. A second request, how can I best "filter" the data (e.g. generate a data frame with the data for a single country or a single

dears R-users, I'm interested in model selection problem, and i have faced some problems that i would like to ask for help. well, this is a very small example with 4 variable (just one var. is the response - z) with 100 individuals i would like to do a stepwise search, for the "best" model, and a use BIC criteria. I know when I have a lot of variables, let's say 120, I know,

Dear R users, I'm trying to use function 'refit' from lme4 and I get this error that I can't understand: > refit(dolo4.model4,cbind(uu,50-uu)) Error in function (classes, fdef, mtable) : unable to find an inherited method for function "refit", for signature "mer", "matrix" if I try: > refit(dolo4.model4,uu) Error in asMethod(object) :

Hello, My name is Rodrigo, I am using R program and I have a trouble. I am trying to do a dendrogram with genetics information. Let me explain... The Similarity Matrix was already did, and with this matrix I want to construct a dendrogram. So, the distance is done. I need to transform this matrix (that I have) in a dendrogram, I woud be very grateful if someone could help me. PS: I am sending

[this message needed manual improvement by the mailing list administrator since it was `HTMLified' .. ``please do not''] Apologies for bothering you about a fairly trivial matter. I have been getting some inconsistencies with the display digits in R V1.5. I have been using the hypergeometric distribution function, and have found that when printing out the results from this

Dear Forum, I have a question about interaction estimate in the Cox model: why the hazard ratio of the interaction is not produced in the summary of the model? (Instead, the estimate of the coefficient is given in the print of the model.) # Example: modINT <-cph( Surv(T_BASE, T_FIN,STATUS)~ NYHA + ASINI + RFP + FE_REC + XX_PR*XX_DISF) print(modINT) coef se(coef) z

Hello, I am attempting to train a random forest model using the randomForest package on 500,000 rows and 8 columns (7 predictors, 1 response). The data set is the first block of data from the UCI Machine Learning Repo dataset "Record Linkage Comparison Patterns" with the slight modification that I dropped two columns with lots of NA's and I used knn imputation to fill in other gaps.

Hi R users, Could anyone let me know how to export a paired t-test output table (see below) to an excel file? Jason, with(score2,pairwise.t.test(values,ind, + p.adjust.method="holm", paired=T)) Pairwise comparisons using paired t tests data: values and ind test1 test2 test3 test4 test5 test6 test1 1.0000 - - -

Hi list, One of my co-workers found this problem with 'cor' in his code and I confirm it too (see below). He's using R 2.2.1 under Win 2K and I'm using R 2.3.0 under Win XP. =========================================== > R.Version() $platform [1] "i386-pc-mingw32" $arch [1] "i386" $os [1] "mingw32" $system [1] "i386, mingw32" $status

My data is called xc and has more than 15 variables. When I used summary(xc) it gave me the detail description of each variable. Summary(xc) Y1 x1 x2 x3 .. Min. :0.0000 Min. : 1.000 Min. : 1.000 Min. : 1.000 1st Qu. :0.0000 1st Qu.: 1.000 1st Qu.: 1.000 1st Qu.: 2.000 Median :1.0000 Median : 1.000

Hi, I downloaded both gee and geepack, and I am trying to understand the differences between the two libraries. I used the same data and estimated the same model, with a correlation structure autoregressive of order 1. Surprisingly for me, I found very different results. Coefficients are slightly different in value but sometimes opposite in sign. Moreover, the estimate of rho (correlation

Hello, I would like to perform a multivariate regression analysis to model the relationship between m responses Y1, ... Ym and a single set of predictor variables X1, ..., Xr. Each response is assumed to follow its own regression model, and the error terms in each model can be correlated. Based on my readings of the R help archives and R documentation, the function lm() should be able to

Hey guys, I'd really appreciate any help. I have a multivariate analysis done, the output of which is: > GraphData <-read.table("eigen.coa") > GraphData V1 V2 V3 V4 1 1 0.371970 0.8552 0.8552 2 2 0.061785 0.1420 0.9972 3 3 0.001211 0.0028 1.0000 4 4 0.000000 0.0000 1.0000 > summary(GraphData) V1 V2 V3

Dear All: I run a logistic regression (using lrm in the Design package), and after that, I use the command "summary" to get the marginal effects of each variable. But one strange thing happens on my binary dependent variable: The marginal effect of it jumping from 0 to 1 is 1.77. I believe the marginal effect of binary variable x1 has interpretation should be P(Y=1|x1=1,