search for: linguists

On Wed, 2009-06-10 at 00:00 +1000, Silvia Pfeiffer wrote: > > My applications are in speech processing. I have been using the .ala > > extension (has sort of a ring to it). There is a small database in the > > FreeCLAS project that has been dispensing .alas to the public. But not > > to worry, it has not attained social networking status. I am about to > > update it

On Tue, 2009-06-09 at 00:12 +1000, Silvia Pfeiffer wrote: > On Sat, Jun 6, 2009 at 6:23 AM, ter<et at ihear.com> wrote: > >> If you are creating multitrack Ogg files, they should contain a > >> skeleton track to identify the different contained tracks. > >> http://wiki.xiph.org/OggSkeleton > > ALingA is a multitrack format > >

On Tue, Jun 9, 2009 at 9:23 AM, ter<et at ihear.com> wrote: > On Tue, 2009-06-09 at 00:12 +1000, Silvia Pfeiffer wrote: >> On Sat, Jun 6, 2009 at 6:23 AM, ter<et at ihear.com> wrote: >> >> If you are creating multitrack Ogg files, they should contain a >> >> skeleton track to identify the different contained tracks. >> >>

Hi. I'm an undergraduate linguistics major and computer science minor at the University of Colorado in Boulder, and am taking a couple classes this semester which give me the opportunity to do a research project - one on introductory acoustics in the physics department, and one in the linguistics department on phonetics and phonology. I've got an idea, but I'd like to hear from anyone

Several years ago there were R implementations of a socio-linguistics analysis method called Variable Rule Analysis namely rbrul and r-varb. Both neither of the sites listed (in the method's WikiPedia page http://en.wikipedia.org/wiki/Variable_rules_analysis ) appear to be online any more (one was at UPenn and the other at Indiana). Does anyone know a) whether the code for either or both of

Hello everyone, I am testing a model in which I have a two-level factor (let's call it First [1, 2]) nested under a four-level factor (let's call it Second [A, B, C, D]). I have used the following model to get coefficients representing whether, for each level of Second, there is a significant difference (in the outcome variable, Latency) between the levels of First: test <- lmer(

So the general strategy for getting these into separate panels in ggplot is to have a single variable that will be your response and a factor variable that indexes which original variable it came from. This can be accomplished in many ways, but the way I use is with the melt() function in the reshape2 package. For example, library(reshape2) plotDF <- melt(SPYdf, ??? ??? ??? ??? ??? ???

Hello everyone, Does anyone know what would cause the skewness() function (from e1071), as well as skew() from psych, to return a value of NaN? I have a vector of positively-skewed data (https://docs.google.com/file/d/0B6-m45Jvl3ZmYzlHRVRHRURzbVk/edit?usp=sharing) which these functions return a value for like normal: > skewness( data ) # returns 1.400405 but when I instead give those

Could you provide some information on your data structure (e.g., are the two time series in separate columns in the data)? The solution is fairly straightforward once you have the data in the right structure. And I do not think tidyquant is necessary for what you want. Best, Charlie -- Charles Redmon GRA, Center for Research Methods and Data Analysis PhD Student, Department of Linguistics

I have a data file with indicates pretest scores for a linguistics experiment. The data are in long form so for each of 33 subjects there are 400 rows, one for each item on the test, and there is a column called ‘Correct’ that shows ‘C’ for a correct response and ‘E’ for an incorrect response. I am trying to write a formula that will create a vector that indicates the number of correct answers

Hi everybody, I posted here about two years ago about the initial release. This is a release that fixes many bugs, and has enhancements that make it possible to support a multi-stream format, ALingA, which I will mention briefly later. It also supports a PCM format, Neuro, both as part of the multi-stream codec, and stand-alone. libogg++ is a C++ library implementing Ogg. It is designed to be

For this kind of control you will probably need to move to base graphics and utilize the `fig` argument in par(), in which case you would want to run the plot() command twice: once with your first outcome and once with your second, changing the par() settings before each one to control the size. On 01/19/2018 01:39 PM, Eric Berger wrote: > Hi Charlie, > Thanks. This is helpful. As

>From my book on corpus linguistics with R: # (10) Imagine you have two vectors a and b such that a<-c("d", "d", "j", "f", "e", "g", "f", "f", "i", "g") b<-c("a", "g", "d", "f", "g", "a", "f", "a",

Thanks for the reminder about lattice! I did some searching and there's a good example of manipulating the size of subplots using the `position` argument (see pp. 202-203 in the Trellis Users Guide: http://ml.stat.purdue.edu/stat695t/writings/Trellis.User.pdf). This is not within the paneling environment with the headers like in other trellis plots though, so you'll have to do a bit

I just got this error: uninitialized constant PriceCurf After much head scratching I remembered the Rails plural to singular mapping rules. My table is price_curves, my object is PriceCurve ... whereas I am guessing Rails thinks the singular ought to br PriceCurf ?! I''m sure there is a simple way around this linguistic blunder that doesn''t involve the use of pigeon English.

Hi Charlie, Thanks. This is helpful. As mentioned in my original question, I want to be able to plot a few such charts on the same page, say a 2 x 2 grid with such a chart for each of 4 different stocks. Using your solution I accomplished this by making a list pLst of your ggplots and then calling cowplot::plot_grid( plotlist=pLst, nrow=2, ncol=2 ) That worked fine. The one issue I have is that

That (the need for base graphics) is false. It certainly **can** be done in base graphics -- see ?layout for a perhaps more straightforward way to do it along the lines you suggest. However both lattice and ggplot are based on grid graphics, which has a similar but slightly more flexible ?grid.layout function which would allow one to size and place subsequent ggplot or lattice graphs in an

Hi Charlie, I am comfortable to put the data in any way that works best. Here are two possibilities: an xts and a data frame. library(quantmod) quantmod::getSymbols("SPY") # creates xts variable SPY SPYxts <- SPY[,c("SPY.Close","SPY.Volume")] SPYdf <- data.frame(Date=index(SPYxts),close=as.numeric(SPYxts$SPY.Close),

Hello everyone, I am running a mixed effects model where I have two fixed factors, one with 2 levels and one with 4, and their interaction. Let's say these are my factors and their levels: FirstFactor: 1, 2 SecondFactor: A, B, C, D For the interaction, I am interested in the four two-way comparisons, not the two four-way comparisons. In other words, I want to test whether 1A is

I am a very novice R user, a social scientist (linguist) who is trying to learn to use R after being very familiar with SPSS. Please be kind! My concern: I cannot figure out a way to get an accurate count of observations of one column of data split by a factor when there are NAs in the data. I know how to use commands like tapply and summaryBy to obtain other summary statistics I am interested