similar to: create waveform sawtooth

Ccing the maintainer if the tuneR package. Looks to me like sawtooth (and square) don't behave as expected when using xunit="samples". Workaround is to use xunit="time" instead: sawtooth(110,duration=1/100,samp.rate=sample_rate,xunit="time") I looked at the code but found it to be opaque. -- Sent from my phone. Please excuse my brevity. On November 12, 2017

Hi John (and other authors of ChoiceModelR package), I am experiencing a weird thing when using the function choicemodelr under R3.0.1. Before I updated to R3.0, I had used choicemodelr unde R2.15. It was always as fast or faster than exactly the same task in Sawtooth software. Now, I've tried to run it under R3.0.1. It seems to be doing the job. But something is slowing it down dramatically.

Hi, I have three original curves as follows, n<-seq(20,200,by=10) t<-c(0.1138, 0.1639, 0.2051, 0.2473, 0.2890, 0.3304, 0.3827, 0.4075, 0.4618, 0.4944, 0.5209, 0.5562, 0.5935, 0.6197, 0.6523, 0.6771, 0.6984, 0.7209, 0.7453) es<-c(0.3682, 0.4268, 0.5585, 0.6095, 0.7023, 0.7534, 0.8225, 0.8471, 0.8964, 0.9098, 0.9371, 0.9514, 0.9685, 0.9747, 0.9812, 0.9859, 0.9905, 0.9923, 0.9940)

G?ran, thanks for the update, I'm just about to install it! Just wanted to drop you a short line about performance (as you once requested): aftreg takes ages on my windows machine to calculate a small set of 7 observations which are not even grouped together by "id". To be a bit more precise, it takes 2:40 mins on my Intel T9300 Core2 Duo @ 2.5 GHz. Bigger samples with about 700

Hi All, I've been playing about with the RECORD FILE agi function and am finding two distinct problems with the resulting wav file when using a non zero sample offset. Specifically, I call the function with a zero offset and a given filename (the "original" recording), and then later call it with the same filename and a non-zero offset (the "overdub"). When I do this, I

Happy New Year to all R users! I have two short questions concerning a xyplot with a color key: 1) How do I properly place (align) the color key beside the xyplot? As you can see from the code listed below, the placement of the color key is not correct. I would like the upper and lower end point of the color key to be perfectly aligned with the upper and lower line of the xyplot. Adjusting

Dear list, I've been trying this for a few hours and I just don't understand how lattice works with groups and subscripts. Consider the following example, > xx <- seq(1, 10, length=100) > x <- rep(xx, 4) > y <- c(cos(xx), sin(xx), xx, xx^2/10) > fact <- factor(rep(c("cos", "sin", "id", "square"), each=100)) > fact2

Dear all, This seems like a simple problem but i've searched the help files and tried various options but failed, so apologies in advance for asking what i'm sure is an easy thing to do! In short, I have displayed behavioural data using the TraMineR package such that there is a colour change between the transition of behaviours, however, all the methods that i have used thus far have

With some help from those with expertise on this list, I managed to produce a plot using trellis that looked like I wanted it to look. Now, I need to take the same plot and make the lines on it color, but I want to specify the color for the lines myself. I've managed to make the key use the colors I want. I've managed to make the symbols of the actual plot use the colors I want. But I

Dear R-ers, I hope there is a really simple solution to my problem. I've written a function that I saved in an .r file. I source this file in my code. For a while it worked fine. But then when I run the line: source("F mylineplot.r") I started getting a warning: In readLines(file) : incomplete final line found on 'F mylineplot.r' I have no idea why - I tried to check and

Hi, im a newbie with very wobbly coding abilities. Tearing my hair out over getting the boxplot i want... I have a dataset called 'eagle' which consists of year (2011 or 2012), month (jan - dec), roof (TT6, TT13 or BARE) and temp (the continuous variable that i want to plot). So i want boxplots of the three roof treatments in every month organised in chronical order along x axis 2011 -

Dear users, I would like to plot several histograms superimposed on the same panel with different colors, with superimposed polygons appearing with transparency effects. I also want estimated densities to appear on the same plot. For several reasons, including that I like it, I want to use the lattice package. I have several questions regarding the use of the 'histogram' function with a

Hi, I have a discrete choice model to estimate for a client that I originally planned to estimate as an aggregate model using a clogit routine. Now the client is asking for results for many segments of the respondents which would mean, if I stayed with my original plan, I would have to estimate a large number of models. I could certainly do this, but I'm thinking that it would be

... and if you need to convert back: ?as.hexmode -- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Sat, Apr 16, 2016 at 8:20 AM, Bert Gunter <bgunter.4567 at gmail.com> wrote: > ?strtoi > > You'll have to remove

i was trying to do a for loop for plotting the histograms , but it doesnt work properly > library(lattice) > columns <- 8:153 > plots <- vector("list", length(columns)) > j <- 0 > for (i in columns) + { + plots[[ j <- j+1 ]] <- histogram( ~ data[,i] | data[,2],ylab = "Frequency", + xlab = "Score", xlim = c(1,5), ylim =

On Tue, Jul 08, 2003 at 10:11:49PM +0200, Miroslav Lichvar wrote: > On Tue, Jul 08, 2003 at 11:07:09AM -0400, Matt Zimmerman wrote: > > severity 200435 normal > > thanks > > > > I received this bug report from a Debian user. I can't think of any reason > > offhand why the command line tool would work while the xmms plugin would > > fail. > ... >

Dear all, I'm routinely using lattice and ggplot2, I wish to create a lattice theme that looks not too dissimilar to ggplot's defaults so I can include both graphs in a document with a consistent look. To illustrate my questions, consider the following example: > library(ggplot2) > library(lattice) > > # example data > x <- seq(0, 10, len = 100) > y1 <-

Since these are color strings, you can use functions in the grDevices package (other others) to manipulate them. E.g., you can convert them to various color spaces and perhaps use the mean in one of those spaces as your 'average color'. > myColors <- c(One="#FF7C00",Two="#00BF40",Three="#FFFF00") > col2rgb(myColors) One Two Three red

severity 200435 normal thanks I received this bug report from a Debian user. I can't think of any reason offhand why the command line tool would work while the xmms plugin would fail. ----- Forwarded message from Stephan Niemz <st.n@gmx.net> ----- Date: Tue, 8 Jul 2003 10:24:57 +0200 From: Stephan Niemz <st.n@gmx.net> Resent-From: Stephan Niemz <st.n@gmx.net> To: Debian

On 16/04/2016 8:47 AM, Atte Tenkanen wrote: > Hi, > > How would you calculate the "mean colour" of several colours, for > example c("#FF7C00","#00BF40","#FFFF00")? > Bert answered your subject line question. Your text is asking something else: if those are colours, you don't want to treat each of them as a single integer. A