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Hi all: After calculating in R I want to show the answer and some explanations not graphic plots in another new device and then save it as txt.file. However, I couldn't find any package or command to do it yet. I know some commands about generating graphics on different types of display or printing device. ex : windows(), postscript(), pdf() and etc. But these all works for graphic plots,

Hi all, I am attempting to create a new variable based on values of other variables. The variable is called pharm. It basically takes the numeric code of 1 as yes and 0 to be No from the variable B20_C1 (a question on a survey). However, I would also like to have a level for non-respondents and these are captured in the variable nr.B20C, which is a 1 when there is a non-response on the whole group

Hello, Please always cc the list. As for the question, yes, it does. If you want to remove just the ones with exactly 73.1 use the pattern grep("^73\\.1$", etc) Explanation: Beginning of string: ^ End of string: $ Escape special characters: \\ (needed because the period is a special character.) Hope this helps, Rui Barradas On 5/22/2018 12:50 PM, Ahmed Serag wrote: > Thank

I am fitting quantile regression models using data collected from a sample of 124 patients. When modeling cross-sectional associations, I have noticed that nonparametric bootstrap estimates of the variances of parameter estimates are much greater in magnitude than the empirical Huber estimates derived using summary.rq's "nid" option. The outcome variable is severely skewed, and I am

Dear R-experts, How can I remove a certain feature or observation by a part of its name. To be clear, I have a matrix with 766 observations as a rows. The row names are like this 70/556 71.1/280 72.1/556 72.1/343 73.1/390 73.1/556 Now I would like to remove all the rows that contain the text 73.1 Any ideas or suggestion please ? Regards ********************** Ahmed Serag Analytical

Jon Pounder wrote: > > <snip> > Fax is really the only need recently, and even that has alternatives like emailing scans that most people prefer now. > The legal and medical communities still seem to prefer faxing, in the ( mistaken? ) belief that it is more secure. In fact the medical community is fearful of the legal beagles. These groups are really slow to change. At least in

Dear All, I am experiencing a difficulty with the "lsoda" function in ODESOLVE library; my differentiation function contains a covariate changes with time, and I don't know how to incorporate that without using loops and so on. Does anyone know how to do it? Your help will be very much appreciated!! In-Sun In-Sun Nam School of Pharmacy and Pharmaceutical Sciences University of

Hello R users, I am a fairly new R user, however, one of the problems I am having is the use of applying if-, and-, then-, else- statements in R against datasets & dataframe. Rtips mentions it, but without simple examples I am not quite sure what my syntax should look like. I am particularly interested in syntax that can be used with the transform function. for example if foo[,1] ==

May I inquire about how to obtain the coefficients from a loess fit of multiple covariates? I have tried terms and coef, but it does not provide me with the coefficients to identify the terms of the entire regression equation. Many thanks Paul -- Paul R. Hutson, Pharm.D. Associate Professor UW School of Pharmacy 777 Highland Avenue Madison WI 53705-2222

Dear R Mailing Subscribers, I just have a question of how R handles interacting variables in model creation using glm for instance. if I write : >> model=glm(solution~descriptor1+descriptor2+descriptor3,family=binomial(link="logit")) I should end up with coefficients for a logistic model that I can introduce easily in the mathematical form of such a model (weighted sum of

I am interested in comparing the fit of robust (i.e., S and MM) and non-robust (i.e., OLS) estimators when applied to a particular data set. The paper entitled "A comparison of robust versions of the AIC based on M, S and MM-estimators" (available at: http://ideas.repec.org/p/ner/leuven/urnhdl123456789-274771.html) presents formulas for robust Akaike information criteria (AIC) for the M,

Hi, I want to be able to rename a folder using R, similar to file.rename. I want to paste " - done" onto the folder name. The reason for this is we run a loop on a large number of folders on a server and it would be nice for people to be able to log in and instantly see if their data has been processed so they can remove it. I have searched the help list but have not found anything and

On an Asterisk 1.2.12.1 system using a TDM400P with two FXO and two FXS modules, servicing two POTS lines: When dialing a number, such as a bank, or pharmacy, where it is required to enter a long series of numbers via the phone's keypad, an unexpected hangup occurs. The hangup does *not* occur when entering the numbers, as one might initially expect, but after the called end begins to

Hello, I am using Samba on Linux as a CLIENT which is accessing Windows Server 2008 and I am trying to setup roaming profiles on the Linux/Samba client. My Linux distribution is openSUSE 11.3 RC1/Factory and YaST does a very good job at setting up Kerberos/Samba to join the domain. It all seems to work, except the Linux profile isn't synchronized back to the Windows domain server. I assume

Hi, I'm plotting PDFs and have a problem. If I have more than 8 sources of data the colours are repeated. These plots are used to remove poor data from the sets so it would be helpful if I could expand the colour range. Is there any way to do this? The plots are coloured by defining a vector colsVec<-1:(length(mzXMLfiles)) And defined in the loop for (file in 1:length(mzXMLfiles)) as

Dear R users & experts, I'd like to create a model using lm (or glm) under some constraints of how coefficients for each component could look like (sort of a range of coefficients that should be allowed). So let's go for an example : model=lm(age ~ eyecolor + height, data=inputdata) So let's suppose that R pops out a model with positive estimates for the coefficients eyecolor

Thanks to all who responded. Not all of the advice helped me with that particular problem, but, I have learned a lot just from your answers. 1. R for Mac 10 (Carbon version) uses the Mac convention of using ":" for the usual Unix "/" and thanks to Dr. Lumley for that since I'm new to R, Mac10, Macs in general, and Unix. 2. Interestingly, Dr. Ripley suggested to

Hello list members, Today I noticed on http://wiki.rubyonrails.com/rails/pages/WorkingProfessionallyWithRails that there were a ton of spam links in the source code that I couldn''t see on the page itself. Upon careful examination I found the links to be hidden: I am posting the content here for reference and to show patterns of spam: <u

Hello, Use grep to get the row indices and then subset with a *negative* index to remove those rows. rn <- scan(what = character(), text = " 70/556 71.1/280 72.1/556 72.1/343 73.1/390 73.1/556 ") mat <- matrix(rnorm(6*6), nrow = 6) row.names(mat) <- rn inx <- grep("73\\.", row.names(mat)) new_mat <- mat[-inx, ] new_mat Hope this helps, Rui Barradas On