similar to: Graphic aspect ratio

How can I look up the aspect ratio of a plot, so I can use that to correctly adjust the angle of text which is supposed to be parallel to a line in the plot? The following example code works for a 1:1 aspect ratio, but puts the text at the wrong angle if the plot region is short and wide or tall and narrow. I can't find a par() component containing the plot aspect ratio. It will be for

On my new Dell system, it's got a cardreader. More to the point, it's got an idiot menu key... *right* next to the right control key, and just where the annoying keyboard design has it cut down from the oversize space bar ASCII art <ctrl><WinDoze> <tall[ ]<tall<tall<tall <ctrl> Alt>[ tall spacebar ] alt> Win>

I've found several similar issues with write.table/read.table with Dates on this list, but trying to follow this advice I still get an error. First, I read in data from several files, constructing several date/time columns using ISOdatetime > str(Tall$Begin) 'POSIXct', format: chr [1:40114] "2005-10-02 00:00:00" "2005-10-02 00:00:00" ... > length(Tall$Begin)

Dear R-ers, I am a gratuate student from South China University of Technology. I fond the function 'sprintf' in R2.10.1 have a little bug(?): When you type in the example codes: > sprintf("%s is %f feet tall\n", "Sven", 7.1) and R returns: [1] "Sven is 7.100000 feet tall\n" this is very different from the 'sprintf' function in C/C++, for in

Hi I'm fairly new to R and am trying to analyse some large spectral datasets using stepwise regression (fairly standard in this area). I have a field sampled dataset, of which a proportion has been held back for validation. I gather than step() needs to be fed a regression model and lm() can produce a multiple regression. I had thought something like: spectra.lm <-

Hello all, I'm trying to write a function that produces a main plotting region with several square plots along the right side. Ideally the size of right side plots will scale only with the height of the entire plot, yet never overlap with another secondary plot. The following two snippets get close, however, as I resize the plot horizontally the right side plots (green squares) get smaller

I have an incoming 800-number over IAX from Teliax and I'm experiencing the large packet loss on connection. When a call comes in there is no ring tone and the first few words of the welcome message are cut off, regardless of the delay I set. Standard call (not 800-number) coming over IAX with the same provider works just fine only the tall free number. So it seems there are some packet loss

On 12/24/2016 5:24 PM, geo.inbox.ignored wrote: > temperature regulated fan speed can reduce noise. > > use of a baffle box with styrofoam or thin foam rubber lining. > > -----+-----+ > fan \/ | | > /\ | | > --+-----+--- > ^ ^ > baffles > > spacing between upper and lower baffles must be equal to or

Dear helpers, FYI, I am a beginner of R, just have dealt with MATLAB or JAVA. I want to know how to solve one problem given 4 variables: year_1, year_2, tall_1, tall_2. The tall_1 is measured at year_1 and tall_2 at year_2. The tall has grown up such as uniformly 1 cm/yr. The data is like year_1 year_2 tall_1 tall_2 2007 2010 12 15 1999 2009 6 16 2003 2005 11 13

I've just found some behaviour which strikes me as odd, but I'm not sure whether it's a bug or a feature. If you don't mind, I'd like to explain via a couple of examples. Let x = 1:10. Then intuitively, to me at least, the command x[-integer(0)] should leave x untouched. However the actual output under R2.4.0 is integer(0). A slightly more involved example demonstrates

Dear all, I am trying (!!!) to generate pdfs that have 8 plots on one page: df = data.frame( day = c(1,2,3,4), var1 = c(1,2,3,4), var2 = c(100,200,300,4000), var3 = c(10,20,300,40000), var4 = c(100000,20000,30000,4000), var5 = c(10,20,30,40), var6 = c(0.001,0.002,0.003,0.004), var7 = c(123,223,123,412), var8 = c(213,123,234,435), all = as.factor(c(1,1,1,1)))

Hi I'm a relative newbie to R and had a query concerning plotting. I have generated a par(mfrow = c(2, 2)) graphic with 10 rose diagrams using circular. What I wanted to add to each individual plot was "n = x" for the number of data observations in each dataset. How might I go about doing this?? Thanks Mike -- View this message in context:

Hi all, Does anyone know of a fairly easy way to "stretch" a heatmap vertically? I've got 42 arrays and would like to be able to see as many significant genes as possible (right now I can only get 50 genes with it still being readable). In some comparisons there are several hundred significant genes. I've fiddled with the "asp" argument, but that doesn't

hello, i can't figure out how to change the vertical position of my x axis labels.. boxplot(c(1:12)~c(rep("1",6),rep("2",6)),at=c(1,2), col=c(0,"grey"),las=1,xaxt="n") ### i put paragraphs in the x-labels because of limited horizontal space axis(1,at=c(1,2),adj=1,labels=c("Salix Scrub","Tall Forb")) ...the labels are one line

Hi I'm trying to write a generic script for processing some data which finishes off with some plots. Given Im never sure how many columns will be in my dataframe I wanted to using the following plot(spectra.wavelength, cormat, type = "l", ylim=c(-1,1), xlab="Wavelength (nm)", ylab="Correlation") however even if I specify as type="l" it appears plot

I''m trying to get data in rows instead of columns by default. The default scaffold behavior is to create an initial table layout with column headers along the top. In some cases this creates really wide tables which require horizontal scrolling. Is there a parameter I can use with scaffolding or a hack to get the header cells along the left side of the table instead? I''m

Hi, I'm trying to reshape my data set from wide to tall format for multilevel modeling. Unfortunately, the function I typically use (make.univ from the multilevel package) does not appear to work with unbalanced data frames, which is what I'm dealing with. Below is an example of the columns of a data frame similar to what I'm working with: ID a1 a2 a4 b2 b3 b4 b5 b6 Below

Hey, I have a dataset like this: ID Var1 Var2 Group A1 1 1 BB A2 1 2 AA B1 2 1 CC B2 1 3 DD C1 1 2 EE I would like to plot the points of Var1 and Var2, use "ID" as X-axis, but color the points by "Group". I can

Hi! I would need an advice from those that use IB (as admins :) ) i have a choice between : 1. Mellanox InfiniHost? III Lx HCA card, single-port CX4, DDR, PCIe x8, mem-free, tall bracket, RoHS R5 2. QLogic Single Port 20 Gb InfiniBand to x16 PCI Express Adapter (Single Pack) aside the price is there anything else that could help me make a discrimination between this two? (these will be used in

Since in Linux we are mostly a debian shop we''d like to stick with debian for our calculation nodes if possible. So I wanted to ask the lustre 2.2 instructions for Debian are they more or less relevant to lustre 2.4/2.5 or am I going headlong into a tall brick wall. Also are newer clients backwards compatible with older server software? I am currently just setting up a demo environment