similar to: Split column of concatenated data

Hi I'm using a function (arrayview from the maanova package) that produces 12 plots, all in separate windows. How can I get each one to print to a jpeg file as the plots are produced? Alternatively, is it possible to get dev.print (jpeg.....) to print all open graphics devices to separate windows? Thanks in advance, Nat Street -- Nathaniel Street University of Southampton

I need to specify error terms properly in a mixed-effects anova model. I know you can add error terms in aov using Error and can specify random factors in lme but I am not sure how these get treated. When making the calculations for fixed and random factors, are the correct error terms used and how can you get aov or lme to use different error terms for fixed and random effects? I'm

I am using contour to draw contour lines onto a photo (jpeg) of a leaf on a white background. I have two problems: 1) The contour gets plotted at right angles to the jpeg image. I guess this is a problem of referencing the start and end points of the image matrix but I can't see how to over come this other than loading in a second image that has been rotated 90 degrees and plotting the

If I have a data frame where a species occupies several rows with different phases such as (both col's ar factors): species,phase Populus tremula,1 Populus tremula,2 Populus tremula,3 Calluna vulgaris,1 Calluna vulgaris,2 Betula alba,1 Betula alba,2 Betula alba,3 Primula veris,1 Primula veris,2 and another df where each species only have one row: species,growth_form Populus tremula,tree Acer

Hello, R community, I have been using the lmer and mcmcsamp functions in R with some difficulty. I do not believe this is my code or data, however, because my attempts to use the sample code and 'sleepstudy' data provided with the lme4 packaged (and used on several R-Wiki pages) do not return the same results as those indicated in the help pages. For instance: > sessionInfo() R

I was working with the rmetrics portfolioBacktesting function and dug into the code to try to find why my formula with 113 items, i.e. A1 thru A113, was being truncated and I only get 85 items, not 113. Is it due to a string length limitation in R or is it a bug in the strsplit or gsub functions, or in my string? I'd very much appreciate any suggestions ============Input script:

MCI A1 A2 A13 A14 A23 A24 A33 A34 Grouped together 56766 N/A N/A N/A N/A N/A N/A N/A N/A N/A 6459 N/A N/A N/A N/A N/A N/A N/A N/A N/A 31233

Microsip (Windows) is free and small. 2.5Mb download, 10Mb RAM usage, does everything I need and configuring TLS is a doddle. http://www.microsip.org/ On 16 February 2017 at 13:04, Max Grobecker <max.grobecker at ml.grobecker.info> wrote: > Hello, > > I'm a big fan of PhonerLite. > It's more poplar in Germany, but also available in English language. > This client

Dear R users, I have a data frame with one column (4000 rows) containing name codes (factor with 63 levels). I would like to associate each name with a particular Type (coded as 1,2,3,4,H or H1) in a second column. Is it possible to do a lookup table of associations (i.e. A23 is of type 1, A13 is of type 3 ...) so as to fill up automatically the $Type column. df() $Source $Type A23 A24 A9 A32

Dear R-help subscribers, Can some one please help me figure out how to write code that will allow me to use a for loop to scan a number of files one by one, and then save a summary of each file as the for loop progresses. For example I have 24 files named a1 through a24, and I want to do something like: results<-numeric(24) for (i in 1:24) { p<-scan("ai.txt") # where the i

Hi all, It seems that setting userMask in the doveadm http api's "user" command to anything involving wildcards ?s or *s causes the API to fail. When using the API with a userMask set to the fully qualified email address, I get the expected fields back. From a python shell, with an asterisk causes the following behaviour (note that doveadm is a python module that wrappers the

hi all, I am fitting a logistic regression model on binary data. I care about the fitted probabilities, so I am not worried about infinite (or non-existent) MLEs. I use: > glm(Y~., data=X, weights=wgt, family=binomial(link=logit), maxit=250) I understand the three ways to fit model, and in my case Y is a factor, one column > Y <- c(rep("A",679), rep("B",38))

hi all, I am fitting a logistic regression model on binary data. I care about the fitted probabilities, so I am not worried about infinite (or non-existent) MLEs. I use: > glm(Y~., data=X, weights=wgt, family=binomial(link=logit), maxit=250) I understand the three ways to fit model, and in my case Y is a factor, one column > Y <- c(rep("A",679), rep("B",38))

Hi All I am having 2 very long character strings (550chars) and I want to put them as expressions together with c(). The problem is that I also get these double-quotes, as seen below in 'fct'. How can I remove these double-quotes? I tried as.name() but it did not work (because of size?). These are creating trouble with subsequent programs, which I tested with strings that for some

I realize this should be simple, but even after reading over the several help pages several times, I still cannot decide between the myriad "apply" functions to address it. I simply want to apply a function to all the rows (or columns) of the same index from two (or more) identically sized arrays (or data frames). For example: > a=matrix(1:50,nrow=10) >

hi, i am porting ogg vorbis decoder on to a24- bit dsp platform. i would like to know how he is arranging the binary tree into an array form. i think this process is done in _make_words in tremer code. i would be if some one could explain me the exact algorithm or where can i get it? i am attaching the code here for your reference. static int _make_words(char *l,long n,ogg_uint32_t *r,long

>-----Original Message----- >From: Thomas Zimmermann <tzimmermann at suse.de> >Sent: Tuesday, November 10, 2020 8:37 AM >To: bskeggs at redhat.com; airlied at linux.ie; daniel at ffwll.ch; Ruhl, Michael J ><michael.j.ruhl at intel.com>; christian.koenig at amd.com >Cc: nouveau at lists.freedesktop.org; dri-devel at lists.freedesktop.org; Thomas >Zimmermann

Hello, I am unable to figure out how to code a new column in a data frame based on an existing column that matches a column in a reference data frame, in a relational-db fashion. I would like this to maintain a minimum set of reference tables that may be reused over several similar datasets. Specifically, I have two data frames as listed below, 'Bos' and 'tree.' For each case in

The value of struct drm_device.ttm.type_vram can become -1 for unknown types of memory (see nouveau_ttm_init()). This leads to an out-of-bounds error when accessing struct nvif_mmu.type[]: [ 18.304116] ================================================================== [ 18.311649] BUG: KASAN: slab-out-of-bounds in nouveau_ttm_io_mem_reserve+0x17a/0x7e0 [nouveau] [ 18.320415] Read of

>-----Original Message----- >From: Thomas Zimmermann <tzimmermann at suse.de> >Sent: Wednesday, November 11, 2020 7:08 AM >To: Ruhl, Michael J <michael.j.ruhl at intel.com>; bskeggs at redhat.com; >airlied at linux.ie; daniel at ffwll.ch; christian.koenig at amd.com >Cc: nouveau at lists.freedesktop.org; dri-devel at lists.freedesktop.org; >Maarten Lankhorst