search for: braman

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

...- paste(iv, dv, ".png", sep = "") png(file=graphname, width=300, height=300) plot(dv ~ iv, pch=".") lines(loess.smooth(iv, dv), lty=1) dev.off() } } Clearly that doesn't work. I'm not sure how to make R see the iv and dv strings as variables. Advice? Donald Braman phone: 413-628-1221 http://www.culturalcognition.net/braman/ http://ssrn.com/author=286206 http://www.law.gwu.edu/Faculty/profile.aspx?id=10123 [[alternative HTML version deleted]]

...= c(syg, dtr), fill=TRUE, col=c('red', 'blue')) Obviously that doesn't work. A couple questions: 1. How do I get Alaska & Hawaii on the map? 2. How to I set the col atttribute for a subset of the states I'm mapping? Many thanks in advance for any help! Don Donald Braman http://www.culturalcognition.net http://ssrn.com/author=286206 http://www.law.gwu.edu/Faculty/profile.aspx?id=10123 [[alternative HTML version deleted]]

...g 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 direct telephones ringing. Things used to work right, suddenly, I have this problem after a recent storm. Thanks, -braman -------------- next part -------------- An HTML attachment was scrubbed... URL: http://lists.digium.com/pipermail/asterisk-users/attachments/20100407/235b6eed/attachment.htm

...ject and when it creates a new one. I suppose I could do this in Python and the use PyR, but I'd really like to learn a bit more about how R syntax. Any help on this specific problem or general advice on manipulating data in multiply imputed datasets in R would be much appreciated. -- Donald Braman http://www.law.gwu.edu/Faculty/profile.aspx?id=10123 http://research.yale.edu/culturalcognition http://ssrn.com/author=286206

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"

As an alternative to Latent GOLD, I'm wondering if anyone knows of and R package that can manage Latent Class Analysis with mixed variable types (continuous, ordinal, and nominal/binary). [[alternative HTML version deleted]]

...are not being picked up. I don't find anything unusual in asterisk log. I am clueless where I should look. I also find zapata-additional.conf empty. The trouble started when the system was accidentally shut down and rebooted. Any help ? How do I diagnose if the TDM400P is not fried ? Thanks, -braman

...ure to me, though! Please educate me! # Question2: Could this could be done by using "apply" rather than a loop? # Or is looping better here bc there are several actions performed at each iteration? # I'm still trying to get my head around all the ways to ditch looping in R. Donald Braman http://www.law.gwu.edu/Faculty/profile.aspx?id=10123 http://research.yale.edu/culturalcognition http://ssrn.com/author=286206

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

# I'm new to R and am trying to get the hang of how it handles # dataframes & loops. If anyone can help me with some simple tasks, # I'd be much obliged. # First, i'd like to generate some random data in a dataframe # to efficiently illustrate what I'm up to. # let's say I have six variables as listed below (I really # have hundreds, but a few will illustrate the point). #

Is there an easy way to invert a table? (not to solve for the inverted matrix, just swap rows for columns & vice versa). I've gone through my data manipulation bible (Phil Spector's book), but to no avail. [[alternative HTML version deleted]]

I'm wondering if there is a simple way to assign a quantile to a vector in a data frame, much like one could in Stata using centile. Let's say I want 100 slices in my assignation. I can easily see what the limits of each slice by using quantile: quantile(my.df$my.var, probs=seq(0, 1, 0.01)) But how do I assign the appropriate value to each row/record in my data frame? Clearly the

I want the standard error associated with a correlation. I can calculate using cor & var, but am wondering if there are libraries that already provide this function. [[alternative HTML version deleted]]

...calls and there seems to be a premature timeout and hangups occurring. I am clueless where to look. Can someone in the know, look at the following log and enlighten me if there's a problem, or if it looks normal. From the calling phone, it keeps ringing as if never picked up. Thanks soo much. -braman ================================================== xxxxxxxxxx=calling number x'ed out for confidentiality prupose====== Mar 25 09:48:13 VERBOSE[3685] logger.c: -- Starting simple switch on 'Zap/4-1' Mar 25 09:48:14 DEBUG[3685] pbx.c: Function result is '"DEWOLFE ENG" <x...

"In general you can match callerID with the /, but if you don't put anything after the /, then the rule matches "no caller*ID", and if no slash is there at all, it matches "any callerid". " Ok.My question is -> how to match callerid from 001... ? and if don't know how many numbers ? exten => s/0_,Answer don't work- anything else ? tnx Thomas

I was trying to fit a curve to the number of people who identify as liberal by age. I got some puzzling results which suggested to me that I don't really understand how local polynomial fitting works. Why, I am wondering, is lowess producing a local fit of zero for every age? > liberal.bin [1] 0 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0 0 0 0 0 0

...#39;ll see if I can figure out what's going wrong. Duncan Murdoch ------------------------------ Message: 28 Date: Sun, 30 Aug 2009 13:53:33 -0400 From: Sunil Suchindran <sunilsuchindran@gmail.com> Subject: Re: [R] standard error associated with correlation     coefficient To: Donald Braman <dbraman@law.gwu.edu> Cc: r-help <r-help@r-project.org> Message-ID:     <f2faed070908301053g4bab9b95n681b31d0ace49300@mail.gmail..com> Content-Type: text/plain Here are some options for confidence intervals. #by hand sample_r <- .5 n_sample <- 100 df <- n_sample-1 fishe...

...ieck)   31. Re: Reading from Google Docs (Duncan Murdoch)   32. Re: Reading from Google Docs (Farrel Buchinsky)   33. Re: Fitting a trend-line (anupam sinha)   34. truncated regression out-of-sample predictions       (Wouterse, Fleur (IFPRI-Senegal))   35. recoding strings containing colons (Donald Braman)   36. Re: error: no such index at level 2 (Godmar Back)   37. please remove me from this list (Curley, Jane)   38. Re: functions to calculate t-stats, etc. for lm.fit objects?       (Marc Schwartz)   39.  Formatting a Table (cvandy)   40. Two-way ANOVA gives different results using anova(lm()) tha...