similar to: filter and merge 2 big Df's by=t_chr in sec.

Dear Listers, can anyone help me, please. Since several days i try to figure out, how to assign values, vectors, functions etc to variables with dynamically generated names inside of functions. Sometimes I succeed, but the success is rather arbitrary, it seems. up to now i don't fully understand, why things like get, assign, <<- etc do sometimes work, and sometimes not. here's one

Should I submit this as a bug report? --- reg-tests-3.Rout.save Thu Jul 3 09:55:40 2003 +++ reg-tests-3.Rout Sun Nov 23 13:10:57 2003 @@ -1,17 +1,18 @@ -R : Copyright 2003, The R Development Core Team -Version 1.8.0 Under development (unstable) (2003-07-03) +R : Copyright 2003, The R Foundation for Statistical Computing +Version 1.8.1 (2003-11-21), ISBN 3-900051-00-3 R is free software and

Dear R helpers: Sorry to bother for a basic question about model.matrix. Basically, I want to apply the dummy coding rule in a dataframe with complete factor levels to another dataframe with incomplete factor levels. I used model.matrix, but could not get what I want. The following is an example. #Suppose I have two dataframe A and B

I am a novice R user, and I am having difficulty understanding R's influence plots. I am trying to remove outliers from a particular variable, "sib." I am able to generate influence plots and further outlier information such as below (which is a shortened example). For my analyses, I end up excluding the points R refers to, 7, 18, 26, and 105. However, my question is, how can I

Hi, I'm running into a problem subsetting a data frame that I have never encountered before: > dim(chkPd) [1] 3213 6 > df = head(chkPd) > df PN WB Sire Dam MG SEX 601 1001 715349 61710 61702 67 F 969 1001_1 511092 616253 615037 168 F 986 1002_1 511082 616253 623905 168 F 667 1003 715617 61817 61441 67 F

Hi, I like the formatting and the appearance of lattice plots. But I have not succeeded in gettting the right format in my plots with the lattice package in one of my applications. In?the code shown below, I start by constructing a general data frame and show my attempts with the lattice package commands. After that, I use the graphics package and show the kind of plot that I want to get. I would

Hey, As some people might know, I've been contacted to make Swfdec run, and preferrably run fast, as a default UI on an STLinux[1] board. (For everyone not aware of it, this is an embedded ARM architecture (266MHz I think?) that uses DirectFB[2] for graphic output.) This mail is intended as a status report, it contains what I've learned and done about this in the last week. I've

Hola Ruben, Sí precisamente es lo que comentas, en matemáticas no se suele llamar bucketización (este término se emplea más en informática) sino datos agrupados. Pero la idea es la que tu mismo dices. Respecto a las gráficas que has puesto, me han aclarado mucho sobre el tema, gracias. Si realizo lo mismo, por ejemplo con nbucket=1000 sigo obteniendo un p-valor de 1. Es decir, que casi le

Because all drivers currently use gem objects for framebuffer planes, the virtual create_handle() is not required. This change adds a struct drm_gem_object *gems[4] field to drm_framebuffer and removes create_handle() function pointer from drm_framebuffer_funcs. The corresponding *_create_handle() function is removed from each driver. In many cases this change eliminates a struct *_framebuffer

Because all drivers currently use gem objects for framebuffer planes, the virtual create_handle() is not required. This change adds a struct drm_gem_object *gems[4] field to drm_framebuffer and removes create_handle() function pointer from drm_framebuffer_funcs. The corresponding *_create_handle() function is removed from each driver. In many cases this change eliminates a struct *_framebuffer

Because all drivers currently use gem objects for framebuffer planes, the virtual create_handle() is not required. This change adds a struct drm_gem_object *gems[4] field to drm_framebuffer and removes create_handle() function pointer from drm_framebuffer_funcs. The corresponding *_create_handle() function is removed from each driver. In many cases this change eliminates a struct *_framebuffer

Dear R-users, I did do a thorough search and read many articles and forum threads on the lme and lmer methods and their pitfalls and problems. I, being not a good statistician but a mere "user", came to the conclusion that the most correct form of reporting statistics for a mixed linear model would be to report the parameter estimates and SEs, and, if the sample size is considerably

I noticed the markdown used for http://daringfireball.net/projects/markdown/had this: Discussion List <a id="discussion-list" /> --------------- It seems to be a way to associate id's or classes with markdown elements. Is this a standard "best practices"? I've gone a different direction in my use of MD. I have a trivial jQuery stunt that looks for

Hi, I am trying to execute the following SQL statement using two data frames: tab1, tab2 : Two Tables Select tab1.*, tab2.*, tab1.tobiiTime - tab2.ruiTime as timeDiff, IFNULL(n-m, -9999999) as alwaysIncrement FROM tab1 LEFT OUTER JOIN tab2 On tab1.data1 - tab2.mouseX = 0 And tab1.data2 - tab2.mouseY = 0 I am trying to do the following in R:- *#Getting error here:* data

I have used merge regularly and thought I understood how it worked, but I must not. I have two dataframes with identical colnames from two different experiments, TL01 and LC01. Each dataframe has a column named "Entrez.Gene", which I have converted to "as.character" just to make sure merge is not looking at factor levels. Because I have done some filtering, the Entrez.Gene

Good morning, I am merging two datasets and I would like to save the non-matching rows in a separate file. The problem is how to retrieve the non-matching rows in R. Example: DATASET A code nomi A1 Franco A2 Mario A3 Andrea A4 Sandro A5 Luca DATASET B code book A1 Guerra e Pace A1 Storia di Roma A2 La coscienza di Zeno A4

I am using rw0641 with Windows 98. To list just the influential repetitiones that result from "influence.measures", I am using the input result <- lm(y~x) and the code from the example in the help for "influence.measures" INFLM <- function(result){ inflm <- influence.measures(result) which(apply(inflm$is.inf,1,any)) } It works fine up to now with the

Hi R user, I am new to R, and I have a very simple question for you. I have two matrix A and B, with internally redundant rownames (but variables are different). Some, but not all the rownames are shared among the two matrix. I want to create a greater matrix that combines the previuos two, and has all the possible combinations of matching rownames lines among matrix A and B. looking for the

New getfb2 functionality uses drm_mode_fb_cmd2 struct to be symmetric with addfb2. Also modifies *_fb_create_handle() calls to accept a format_plane_index so that handles for each plane can be generated. Previously, many *_fb_create_handle() calls simply defaulted to plane 0 only. Signed-off-by: Joe Kniss <djmk at google.com> --- drivers/gpu/drm/amd/amdgpu/amdgpu_display.c | 5 +-

Hi Alex, > On 9 Dec 2016, at 01:52, Alex Susu via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > > Hello. > I read on page 4 of