similar to: Please help with loop, thanks

Hi, I have made a plot with panels (attached) using R code (below) and I'd like to increase the size of each panel and decrease the white space, especially the white space between: 1. rows of panels 2. the top panel and its title (which contains info on r2 and N) 3. each panel and its x label. I've dug around in the plot help files but can't seem to find how to do this. Any help

The SIP trace will be adequate but this is on a remote system with limited disk space. I would love to turn on debugging while making the troublesome calls, then turn it off afterward. Tcpdump is great, but starting it and stopping it and keeping all that data would still be an issue. d On Fri, Feb 17, 2017 at 4:56 PM, Tim Pozar <pozar at lns.com> wrote: > Why not capture the packets

Thanks in advance. I have a vector of numbers which contain sections that are sequences which increase by a value of 1 followed by a gap in the data and then another sequence occurs, etc: x<-c(1:3, 6: 7, 10:13) From the vector I need to extract 2 items of information A) the first number in the sequence (e.g., 1, 6, 10) and B) how many observations were in each sequence section (e.g., 3,

SNOM phones can be configured using files on a TFTP server. On Thu, Apr 9, 2015 at 11:14 AM, jg <webaccounts173 at jgoettgens.de> wrote: > > Does anyone know how to program Snom phones using a Mac addresses like > what is done with the Ciscos. I have about 50 extensions to be programmed > and I am hoping there is a way on Asterisk to program extensions on the > snom

Dear all, I'm having a few problems trying to reshape a data frame. I tried with reshape{stats} and melt{reshape} but I was missing something. Any help is very welcome. Please find details below: ################################# # data in its original shape: indiv <- rep(c("A","B"),c(10,10)) level.1 <- rpois(20, lambda=3) covar.1 <- rlnorm(20, 3, 1) level.2

Dear all, I have the following dataset with results from an experiment with individual bats that performed two tasks related to prey capture under different conditions: X variables: indiv - 5 individual bats used in the experiment; all of which performed both tasks task - 2 tasks that each individual bat had to perform dist - 5 repeated measures of individual bats at 5 different distances from

Hello, and thanks in advance. I have a data.frame from which I want to count observations that occur on each day and determine the mean and std.error of said counts. For instance: x<-split(my.df, my.df$julian.days) Although I'm still in my R learning infancy I am under the impression that x is a list of data.frames subsetting my.df by group (i.e.,julian.day) where day 1:366 are

Dear r-helpers, why do I get an output in the first iteration of the for-loop which contains the string values of the input vector, and how can I avoid that? Here's the output (only line 1 is wrong) latentVariable Indiv Group 1 rPlanning rIterat rTDD 2 rPlanning 0.79 0.84 3 rIterat 0.79 0.83 4 rTDD 0.9 0.96 5 rStandup 0.83 0.82 6

Dear all, i'm trying to label specific individuals (supplementary ones) after a PCA with the FactoMiner package. There is not much details (possibilities?) in the R-help of the plot.pca function. There is indeed a "label" parameter but i could only manage to label the supplementary individuals with there "row.names" (i.e. label="indiv.sup") and not with the

Has anyone else seen this in the wild? We just had an attempted attack yesterday from a live attacker on one of our machines using this vulnerability. It wasn't all that clever, and they're long gone, but I *did* manage to catch them in the act and grab a copy of the binary they tried to run from /tmp/, as well as the PHP injection code they used to subvert a virtual web site's

I am trying to test a Samba PDC on our network that currently shares files as a workgroup (with a different name, of course). Microsoft states that this can be done, with no issues (so long as the workgroup and the domain have different names). The permanent home for the shares is on //receptionist. ( The temporary home for the Samba PDC is on //haze. ) Once the PDC has been set up

I'm trying to create a graph where different cells of a grid (a shapefile) will be painted with a color share scale, where the most easy way is to use gray(). Can I somehow get a vector (gradient) of colors, a vector of colors with other methods but gray()? I'm doing this until now quad_N_sp <-

Hello world, I'm trying to do an anova on data in data.set, dependent variable is a column named "dep.var", grouping variable is in a column called "indep.var", and is.factor(indep.var) is TRUE... why can't I just do aov(dep.var ~ indep.var, data = data.set)? What have I done to deserve this?! What gives? Am I missing something totlly obvious? R-base-1.0.0-1,

Sorry to barge in on an old thread. I''m having the same trouble as the gent who started this thread. I''ve tried the options described and can''t seem to get the tunnel to pass packets through it. I''m using the Netscreen Remote VPN client (Safenet derivative) on a windows machine, trying to connect to a Netscreen 5xp at the other end. The connection fires

Is there any software that can be run in windows to monitor icecast mounts, ie, user count etc.. I swear I seen one before but I can't remember where. -=-=-=-=-=-=-=Ottawa Valley Weather-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= Weather @ 2:20pm - Temp: 34.9?C - Humidity 29% - Wind: E @ 13 km/h Baro: 996kPa Steady - Vis: 8km - Sky: --- - Weather: Haze Hourly Rain: 0.00mm - Daily Rain:

I have a few questions relating to overdispersion in a sex ratio data set that I am working with (note that I already have an analysis with GLMMs for fixed effects, this is just to estimate dispersion). The response variable is binomial because nestlings can only be male or female. I have samples of 1-5 nestlings from each nest (individuals within a nest are not independent, so the response

I'm trying to sort a DATAFRAME by a column "ID" that contains alphanumeric data. Specifically,"ID" contains integers all preceeded by the character "g" as in: g1, g6, g3, g19, g100, g2, g39 I am using the following code: DATAFRAME=DATAFRAME[order(DATAFRAME1$ID),] and was hoping it would sort the dataframe by ID in the following manner g1, g2, g3, g6, g19,

Hello all, The following line of code includes a right-to-left language text, yet the R graphics engine displays it from left to right. One problem this causes is when there are parenthesis in the test, here is a basic example? plot(1:10, main = "שלום (טקסט)") Is there a way to make sure the text is displayed from right to left? Many thanks for any suggestions, Tal

Hello everyone, I'm trying to compile my test.cpp for ARC, using this guide https://clang.llvm.org/docs/CrossCompilation.html. I've built my LLVM+CLANG with ARC, ARM and X86. clang -target arc -S test.cpp Gives me: error: unknown target triple 'arc', please use -triple or -arch clang -targer arm works fine Is there any way to compile for ARC? -------------- next part

Given the following dataframe: A=1:10 B=(a-5)^2 DATAFRAME=data.frame(A,B) How can I sort DATAFRAME increasing (or decreasing, for that matter) by B without making reference to A, or any other column? I've read ?order and ?sort but cannot seem to figure this out. Thank you. Mark