similar to: mapping states with colors

I'm importing a lot of text tables of data (from Latent Gold) that includes hashes in some of the column names ("Cluster#1", "Cluster#2", etc.). Is there an easy way to strip the offending hashes out before pushing the text into a table or data frame? I thought I'd use gsub, e.g., but can't figure out how to read in a text file without reading it into a table or

Hi folks, I have five imputed data sets and would like to apply the same recoding routines to each. I could do this sort of thing pretty easily in Stata using MIM, but I've decided to go cold turkey on other stats packages as a incentive for learning more about R. Most of the recoding is for nominal variables, like race, religion, urbanicity, and the like. So, for example, to recode race

# I've tried to make this easy to paste into R, though it's probably so simple you won't need to. # I have some data (there are many more variables, but this is a reasonable approximation of it) # here's a fabricated data frame that is similar in form to mine: my.df <- data.frame(replicate(10, round(rnorm(100, mean=3.5, sd=1)))) var.list <- c("dv1",

This is a simple problem that has stumped me: I'm trying to loop through a few dozen variable names in graphs. I've tried various approaches like this: attach(mydata) ivs <- c("oneiv", "anotheriv", "yetanotheriv") dvs <- c("onedv", "anotherdv", "yetanotherdv") for (iv in ivs) { for (dv in dvs) { graphname <- paste(iv,

I noticed there is a country_select. Is there anything like us_state_select maybe? More specifically - I''m wondering if I manually have to populate an array with all the U.S. state abbreviations so users can select which state they live in while entering their mailing address. -- Posted via http://www.ruby-forum.com/.

Hello List, My goal is to apply a user-defined function on several columns of a data frame. When testing the code on a reproducible example below, I get the following error message. > #now Write a new function using the above cut ()/quantile function to apply on different columns of the data frame > > CutQuintiles <- function(x) { + cut (test1$x,quantile (test1$x,

Hello, The most part of the program works except that the following logical variable does not get created although the second logical variable-based extraction works. I don't understand what I am doing wrong here. state_pflt200 <- df$p_fatal <200 df[state_pflt200, c("state.name","p_fatal")] I would appreciate receiving your help. Thanks, Pradip Muhuri

I'm having issues when trying to do a filled State plot using the maps() package. It seems that the color values aren't being plotted correctly, and I'm not sure why... I've started debugging it, but I'm stuck. I've attached the code that I've got so far. The for loop plots states 1:i. What I'm noticing is that the colors are correct until after Michigan gets

Jun 8 23:14:09 dakota pop3(dakota): open(/var/spool/mail/dakota.lock) failed: P ermission denied Jun 8 23:14:09 dakota pop3(dakota): file_lock_dotlock() failed with mbox file / var/spool/mail/dakota: Permission denied Jun 8 23:14:09 dakota pop3(dakota): open(/var/spool/mail/dakota.lock) failed: P ermission denied Jun 8 23:14:09 dakota pop3(dakota): file_lock_dotlock() failed with mbox file /

Signed-off-by: Simon COURTOIS <scourtois at linagora.com> --- src/app/controllers/vm_controller.rb | 16 ++++++++++++++ src/app/views/vm/edit_vmpool.rhtml | 36 ++++++++++++++++++++++++++++++++ src/app/views/vm/show.rhtml | 3 ++ src/public/images/icon_vmpool_11px.png | Bin 0 -> 542 bytes 4 files changed, 55 insertions(+), 0 deletions(-) create mode 100644

Hello I am migrate FC1 to FC2, in FC1 i use ipop3d, but in the migration to FC2 this programa is obsolete, i decide migrate to dovecot, but i have problems with the old mail i have the mail stored into /var/spool/mail/USER and this error appears with examine the mail with Oulook Express: Jun 6 23:24:10 dakota pop3(dakota): open(/var/spool/mail/dakota.lock) failed: Permission denied Jun 6

I am using "maps". I am running the following code to get this list of all the counties: map('county', plot=FALSE)$names In the output, all counties have first the state listed and then, after a comma, the name of the county. However, county # 2395 (State = south dakota) has no county name. Anyone knows what this county is? Thank you! -- Dimitri Liakhovitski

I'm coming from the AMOS world and am wondering if there is a simple way to do multiple hypothesis testing in the manner of BIC analyses in AMOS using the sem package in R. I've read the documentation, but don't see anything in there except for basic BIC scores. Perhaps someone has devised a simple way to compare the relative likelihood of all possible path-fittings within a

I've been playing around with various table tools, trying to construct a fairly simple cross-tab. It shouldn't be hard, but for some reason it turning out to be (for me). If I want to see how many men and how many women agree with a agree/disagree question (coded 1,0), I can do this: >attach(mydata) >mytable <- table(male, q1.bin) # gender and a binary response variable

Regards I am installing NUT for the UPS Skate UPS-2200D, the UPS have conection with USB to PC and i have problems to configure nut the ups is conected and Linux report this config Aug 19 23:34:56 dakota kernel: [22393.099595] usb 2-2: new low speed USB device using uhci_hcd and address 7 Aug 19 23:35:06 dakota kernel: [22403.186326] usb 2-2: Product: MEC0002 Aug 19 23:35:06 dakota kernel:

I'm currently reviewing the latest release of FreePBX (formerly known as Asterisk@Home). Do either of you know whether FreePBX is robust enough to handle multiple clients, or have any recommendations on front-end Web interface to manage client config & provide clients access to manage their level of access (similar to how Vonage, Teliax, and others provide client access to their web

Hello List, My goal is to create a 5 category variable (p1_st_data$ob_mrj_cat), based on the p1_st_data$obt_mrj_p variable, using the following code for 50 States and District of Columbia (N=51). p1_st_data$ob_mrj_cat <- cut (p1_st_data$obt_mrj_p, quantile (p1_st_data$obt_mrj_p, (0:5/5), include.lowest=TRUE)) The issue is that, for Utah, I am getting an <NA> instead of (42,48.7] in

Hi R Gurus! There was a function in S called "usa()" which would plot the US. I found map('usa') in R for the lower 48 states. Is there a way to include Alaska and Hawaii as well, please? Thanks, Edna Bell

Hope some can help me. I have a PSTN coming into TDM400 into Asterisk. We also have direct telephones connected to the PSTN bypassing the Asterisk. When a call comes in on the PSTN the direct connected phones ring first and if no one picks up , Asterisk picks and get routed to internal sip phones. I am not able to find what I should tune to make the calls always go through asterisk without the

Can someone help me understand this results? > levels(as.factor(miset1$facts_convict)) [1] "1" "1" "2" "3" "4" "5" "6" converting to numeric and back doesn't seem to help: > levels(as.factor(as.numeric(miset1$facts_convict))) [1] "1" "1" "2" "3" "4" "5"