similar to: How to make the cell background of a table informative?

One thing I have noticed when encoding VCDs is that often videos with complex backgrounds don't compress nearly as well as those with simple ones. Part of the problem is that TV cameras seam to have the focus so that the entire image is clear rather than focusing on the foreground (and blurring the backgrounds). The result is that a good number of bits are wasted trying to perfectly

Hi All, I'm using the following code to produce some stacked bar graphs. *setwd("C:\\Users\\Tinus\\Documents\\NMMU\\R\\Seamounts")* *SChla <- read.csv("SM_Chla_data.csv")* * * *#Extract mean values from data file* * * *Coral <- SChla[185:223,] #Reduce SChla to Coral only* *coral <- with(Coral , aggregate(cbind(Pico, Nano, Micro), list(Depth),FUN=mean))*

Hi fellow R users, I have a dataset that looks something like this. species class abundance K 1 592 K 2 288 G 1 254 G 2 239 C 2 173 D 2 123 E 3 89 F 2 87 B 2 86 H 2 82 I 1 79 J 2 76 B 1 73 D 3 72 A 2 62 L 2 58 I want to plot a stacked barchart. species is the x-axis, abundance is y-axis, and class will appear as the stacks in different colours. I need the species to be displayed in descending

I'm having the most curious error while using the sem package. For the model I'm working with, I keep getting the following error: Error in J[cbind(1:n, observed)] <- 1 : subscript out of bounds I''ve used debug=TRUE with sem, and there don't appear to be any problems with model - there are no latent variables in this model. The variables in the covariance matrix

Dear RUsers, I guess this is an easy question for someone a little familiar with programming...(which I am not)... I've got 2 colummns, one shows just dates(SST_date, Class 'Date' num), the other one shows the SeaSurfaceTemperature (SST, num) at that certain date. SST_date SST 2008-01-01 22.2 2008-01-02 21.8 2008-01-03 22.8 2008-01-04 22.9 2008-01-05 23.1 2008-01-06 23.2 ...

Greetings, I am new to R and am hoping to get some tips from experienced R-programmers. I have a dataset that I've read into R as a dataframe. There are 5 columns: Plot location,species name, a species number code (unique to each species name), abundance, and treatment. There are 272 plots in each treatment, but only the plots in which the species was recorded have an abundance value. For

I'm looking over good-code a post-doc in my lab wrote and trying to learn how it works. I came across the following: rel.abundance <- as.matrix(read.delim("rel.abundance.csv",row.names=1,as.is =TRUE)) rel.abundance <- log2(rel.abundance-min(rel.abundance)+1) I'm not sure what the second line is doing. I ran each line in R and couldn't see a noticeable difference in

I centos 5 I can run this command: su myuser -c "/usr/bin/gconftool-2 -t string --set /desktop/gnome/background/picture_filename /usr/share/backgrounds/images/mypic.png" and this works fine. under centos 6 it does not appear to be working... I can run the similiar --get command and it tells me its set to what I asked for. However the screen is not showing mypic.png I can use

Hi all, I am fairly new to R and I am trying to run mvpart and create a MRT using explanatory variables and covariables. I've been following the procedures in Numerical Ecoogy with R. The command (no covariables) which works fine - ABUNDTMRT <- mvpart(abundance ~ .,factors,margin=0.08,cp=0,xv="1se",xval=nrow(abundance),xvmult=100,which=4) where abundance is 4th root

Hi guys, I'm very new to R and have been teaching myself over the past few months - it's a great tool and I'm hoping to use it to analyse my PhD data.As I'm a bit of a newb, I'd really appreciate any feedback and/or guidance with regards to the following questions that relate to generalized linearmixed modelling (or, at least, I think they do!)(if there is a 'better',

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hello list! I'm sorry, I just stumbled over this strange behaviour (at least I am not able to explain the behaviour, therefore I assume it to be a strange behaviour): attach(water) # I know, this is not recommended names(water[3:10]) [1] "temp" "pH" "DO" "BOD" "COD" "no3" "no2" "po4" for (i in

Dear latex/R-Sweavers, Using the codel below, I can color text in individual cells for latex output. Is there a similar way to get a background shading? My attempts failed because I did not get the closing brace at the right place with Hmisc/latex. library(Hmisc) x <- as.data.frame(diag(rnorm(3),nrow=3)) cellTex <- matrix(rep("", NROW(x) * NCOL(x)), nrow=NROW(x))

I am searching for directions for using live block migration to copy running vm's to a different storage pool. Example: VM1 running on Host1, the image(s) for VM1 are stored in /var/lib/libvirt/images. I'd like to copy the disk image(s) that VM1 is using to /nfs/images. Without stopping/pausing/powering down the VM. Do you have any examples or documentation of how to accomplish this

Dear latex/R-Sweavers, Using the codel below, I can color text in individual cells for latex output. Is there a similar way to get a background shading? My attempts failed because I did not get the closing brace at the right place with Hmisc/latex. library(Hmisc) x <- as.data.frame(diag(rnorm(3),nrow=3)) cellTex <- matrix(rep("", NROW(x) * NCOL(x)), nrow=NROW(x)) cellTex[2,2]

--- nva/set_timings.c | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nva/set_timings.c b/nva/set_timings.c index 7376486..985a707 100644 --- a/nva/set_timings.c +++ b/nva/set_timings.c @@ -506,7 +506,7 @@ shallow_dump(struct nvamemtiming_conf *conf) if (conf->range.start == (unsigned char) -1) conf->range.start = 0; if (conf->range.end == (unsigned char) -1) -

Hi there, I'm using the lattice package to create an xy plot of abundance vs. depth for 5 stages of barnacle larvae from 5 species. Each panel of the plot represents a different stage, while different loess smoothers within each panel should represent different species. However, I would like depth to be on the y-axis and abundance to be on the x-axis, because this is more intuitive as an

Hi. I am currently trying to run some Spearman correlations, and have encountered two issues. 1) When using cor.test() with a variable that includes ties, I get the "Cannot compute exact p-values with ties" error. I have read that this function now uses an asymptotic formula that allows for ties, so do not understand why I am getting this error. (I am running version 2.4.0.) I

I am using two mixed effect models. Firstly, what I am trying to do is to compare green roofs abundance with brownfield, green roof with green space abundance, and finally green space with brownfield abundance. I am unsure if I have done the correct model. I have to use a mixed effect model because my data is nested. This is the code and output >

Hello, please excuse the simplicity of this question as I am not very good with stats. I am taking a class, using R which I am learning at the same time, and the questions asks us to "Estimate the average abundance using Poisson regression with a log link". I can estimate the abundance from "x", but I can seem to figure out how to get the average abundance in this method. Any