similar to: how to write text into a file

Hi, perhaps this question was answered previously however I could not find them. My problem is how how to extract a particular statistic from the result given by lm(). For e.g. 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) >

Hello list, I have a linear regression 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) reg <- lm(weight ~ group) sreg <- summary(reg) and I would like to dump exactly what I see on the console with

Hi, I am trying to extract the coefficients matrix from a gls summary. Contrary to the lm function, the command fit$coefficients returns only the estimates of the model, not the whole matrix including the std errors, the t and the p values. example: 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 <-

Hi, I'm newbie with R and don't really know how to add a median line to each of the groups that is not all the plot long. Here is a small working code that i have adapted for my purpose. If somebody could tell me how to draw median lines on each group and not all plot long. ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14) trt <-

hi, is there an option to calculate the 'within' & 'between' group variances for a simple ANOVA (aov) model (2 groups, 1 trait, normally distr.) ? or do I have to calculate them from the Sum Sq ? thanks for your time and greetings, gregor -- Gregor Rolshausen PhD Student; University of Freiburg, Germany e-mail: gregor.rolshausen at biologie.uni-freiburg.de tel. :

Dear R-helpers, I was curious why the output of summary (and many other functions in R) does not add a separator between the name of a factor and the label of a level (e.g., in the example below, 'group Trt'). If the user had lower case labels (e.g., 'trt'), the output would be particularly hard to read. ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14) trt

Hi list, is there any direct way to obtain confidence intervals for the regression slope from lm, predict.lm or the like? (If not, is there any reason? This is also missing in some other statistics softwares, and I thought this would be quite a standard application.) I know that it's easy to implement but it's for explanation to people who faint if they have to do their own programming...

Dear Everyone in list: I am writing some codes to automate the process of fitting linear models where the names of variables of models are produced and stored in character vectors. But I have problems to pass the vectors to the lm( ) because I don't know how to strip the quotation marks automatically. Here are the codes of the example of lm( ): ## Annette Dobson (1990) "An Introduction

<r-help@r-project.org> Hi, R users, How can I export an R object as a .txt file? As an example I have the result from a regression and I need to save this object in a .txt file 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,

Hi, I tried to replicate the values of critical probabilities reported from lm() function in R as below 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) model_coed <- summary(lm(weight ~ group))[[4]] print(pt(abs(model_coed[,

Hi all, I wanted to mark the estimation sample: mark what rows (observations) are deleted by lm due to missingness. For eg, from the original example in help, I have changed one of the values in trt to be NA (missing). # code below # ---- # original example > 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) #

Hi. I want to create a table in latex with regression coefficients and their corresponding p-values. My code is below. How do I format the p-values so that values less than 0.0001 are formated as <.0001 rather than just rounded to 0.0000? Thank you. model<-lm(y~x1+x2) output<-summary(model) output<-as.matrix(coefficients(output)) output<-format.df(ouput,cdec=c(2,2,2,4))

I wonder if it's possible to run R-functions or other commands automatically by some shell-script in Linux shell. I thought that something like $ R mean(c(1,2)) $ R xy.Rdata would work, but I havent found the right way.

Dear all, Is there anybody who can help me to avoid scientific number in the summary of an lm model? Here there is an example of a usual output of the lm model. Thank you! Guillermo Example summary(lm(promiscuity.Index~allK)) Call: lm(formula = promiscuity.Index ~ allK) Residuals: Min 1Q Median 3Q Max -1.67094 -0.13126 0.06703 0.19913 0.40673 Coefficients:

Hi, Is there a way to get/extract a matrix of regression variable name, coefficient, and p values? (for lm and glm; which can be sort by p value?) thanks Dhruv [[alternative HTML version deleted]]

Hi All, After I run the lm function, where (which variable) do I find my R-squared for further calculations? Thanks, Tom -- View this message in context: http://n4.nabble.com/R2-in-lm-function-tp963958p963958.html Sent from the R help mailing list archive at Nabble.com.

Hi! In R 3.0.0 from current SVN, ?summary.lm says: > Value [...] > df degrees of freedom, a 3-vector (p, n-p, p*), the last > being the number of non-aliased coefficients. ?summary.glm says: > df a 3-vector of the rank of the model and the number of residual > degrees of freedom, plus number of non-aliased coefficients. It seems to me that the description is reversed: p is

Dear R-listers, I have a dxr matrix Z, where d > r. And the product Z*Z' is a singular square matrix. The problem is how to get the left inverse U of this singular matrix Z*Z', such that U*(Z*Z') = I? Is there any to figure it out using matrix decomposition method? Thanks a lot for your help. Fred

Hello, I am interested in plotting my regression analysis results(regression coefficients and standard errors obtained through OLS and Tobit models) in the form of graphs.What is the best way to accomplish this? Thanks. Murali Kuchibhotla [[alternative HTML version deleted]]

Dear all, Hope this question is not too trivial... In order to correct standard errors from an estimation of a fixed effects regression model y need to extract the vector of standard errors of the coefficients of a simple linear model estimated using lm(var1~var2+var3+var4) Unfortunately I can't find out the corresponding function. Thank you very much for your help. Uli -- Uli