similar to: subset-analogue removing fed in indexes?

I have written a function to plot data which will be used for various different chemistries. A simplified version is: plot_data <- function(risk,levels,chem,sd2,measure){ plot(risk, levels,main=paste ("per", sd2, measure, "\n in usual", chem)) } The problem is with the title. This works fine if the variable "chem" is just text, but if it is an expression then

Hello, Using the dataset below I produce a soil.texture plot (R code for this included at the end). One will notice I have plotted the points based on whether or not they are in a region called 'upstream' or 'downstream'. I'm curious if there is a way to somehow extract counts of the number of points (red points and blue points) falling within each classification (e.g. silty

Hi, I want to plot grouped bars to compare 95% confidence interval estimates from two models. Each bar represents a 95% confidence interval estimate of a coefficient from one of the two models. Each group represents confidence interval estimates of the same coefficient from the two models. I think such a bar plot will nicely present whether 95% confidence interval estimates of the same

Dear R users, A have a dataframe (matrix) with two collumns (plot, and diameter (d)). I want all diameters values for different combination of plots. For example I want all d values for all posible combination, 100C2 (all d values for plot 1 with all d values in the plot 2.......with all d values from plot 1 with all d values from plot 100, ...... with all d values from plot 99 with all d values

Dear R helpers I have following dataset rate_number = matrix(c(5, 15, 60, 15, 5, 0, 20, 60, 20,0, 10, 20, 40, 20, 10), nrow = 5, ncol = 3) range_mat = matrix(c(6.25, 6.75, 7.25, 8.75, 9.25, 9.75, 8.5, 9, 9.5, 10.5, 11, 11.5, 4.25, 4.75, 5.25, 5.75, 6.25, 6.75), nrow = 6, ncol = 3) > rate_number        [,1]   [,2]   [,3] [1,]    5     0      10 [2,]   15   20      20 [3,]   60   60      40

Dear Professor Revelle and R-helpers, This is a two-part question: the first part is general, and the second is specific to the psych package. First question: In the past I've constructed composite variables from questionnaire data by using rowMeans(), and then correlating items with the scale using cor() as an informal check for "bad" items. Over the weekend I decided to take a

Dear R-experts, The forest.rma() function from the metafor package creates nice forest plots for presenting the results of a meta-analysis. These plots can be annotated for e.g. giving names to the columns. E.g. as in the documentation of the package: data(dat.bcg) ### meta-analysis of the log relative risks using a random-effects model res <- rma(ai=tpos, bi=tneg, ci=cpos, di=cneg,

Hii, I will create boxplots from matrices. I have the following data sets: 5.0 1.78 2.99 2.019 0 10.0 1.79 3.00 1.744 0 15.0 1.78 2.98 1.936 0 20.0 1.78 2.99 1.975 0 25.0 1.73 2.91 3.591 0 30.0 1.79 3.00 1.966 0 35.0 1.79 3.00 2.451 0 40.0 1.79 3.00

Hi I have a called fil consisting of the following strings. > fil [1] " 102.2 639" " 104.2 224" " 105.1 1159" " 107.1 1148" " 108.1 1376" [6] " 109.2 1092" " 111.2 1238" " 112.2 349" " 113.1 1204" " 114.1 537" [11] " 115.0 303" " 116.1 490"

I have several XP VM's and its also physically one on a on a multiboot laptop. Just today, they all gave "unknown username or bad password" to the main samba server which has been working fine for years. There is nothing wrong with the accounts because Win 7 clients using the same credentials are fine. On the LAN I also have Ubuntu servers and their samba shares are OK from XP.

May be wish for an addon which on-the-fly convert flv/mp4 videos to ogg in browser. Firefox can run/display ogg videos. Currently I have to download them manually using download helper extension and then i use OggConvert to convert it into ogg video. Then I watch it. -------------- next part -------------- An HTML attachment was scrubbed... URL:

The Money and Reserves Analysis section in the Division of Monetary Affairs at the Federal Reserve Board in Washington has an opening for an Information Systems Analyst (ISA). The job listing can be found here: http://careers.peopleclick.com/jobposts/Client40_FRBOG/BU1/External/281-813.htm This is not really a statistics position, although it does involve SAS (and possibly R, see below)

Hello! Problem: Outbound data goes through default interface instead of specified, causing congestion. Question: How can I instruct samba to tell Solaris to SEND data through specified network interface? Detailed: I have a solaris filesserver with two network interfaces, hme0 and hme1. I'd like NFS to use hme0 and smb hme1. I intsruct samba to only listen for connections on the

https://bugzilla.samba.org/show_bug.cgi?id=15546 Bug ID: 15546 Summary: disable of sorting when files to transfer is fed via --files-from Product: rsync Version: 3.2.0 Hardware: All OS: All Status: NEW Severity: enhancement Priority: P5 Component: core

Hello, I'm cc'ing R-Help. Sorry but your question was asked 3.5 years ago, I really don't remember it. Can you please post a question to R-Help, with a reproducible example that describes your problem? Rui Barradas ? Citando catalin roibu <catalinroibu at gmail.com>: > Dear Rui, > ? > I helped me some time ago with a code..... regarding aggregated data >

Hi, as we are trying to implement MDCT in hardware, we are caring now about the "n" (size of input and output vectors to and from MDCT). As I have looked in the code, this "n" is chosen from the Ogg/Vorbis stream data in info.c:_vorbis_unpack_info() which means this "n" can vary aribitrarily (as the power of 2) depending only on the value got from song data? or is

Hey all, I need to use C bindings in a pass that I am authoring (specifically, I want to use the OCaml bindings that are tied to the C bindings to author the pass). However, this requires that I link in LLVMCore to provide said bindings to my library. From what I've read, there is a known issue with linking LLVMCore into a module that is fed to opt. Namely, you get the following assertion:

Hi all, I've encountered an issue using svm (e1071) in the specific case of supplying new data which may not have the full range of levels that were present in the training data. I've constructed this really primitive example to illustrate the point: > library(e1071) > training.data <- data.frame(x = c("yellow","red","yellow","red"), a =

Dear all, I am encountering some issues with my data and need some help. I am trying to run glm analysis with a presence/absence variable as response variable and several explanatory variable (time, location, presence/absence data, abundance data). First I tried to use the glm() function, however I was having 2 warnings concerning glm.fit () : # 1: glm.fit: algorithm did not converge # 2:

I have a data.frame named "df". The dput of df is at the bottom of this e-mail. What I'd like to do is replace the "n/a " values with NA. On Mac OSX, it works to do this: df[df == "n/a"] <- NA However, it does not work on Ubuntu. See below. Thanks in advance, Garrett > x <- df[27, 4] # complete data.frame dput is below > dput(x) "n/a?"