similar to: help with calculation from dataframe with multiple entries per sample

Hi All, Newbie question for you all but i have been looking at the archieves and the help dtuff to get a rough idea of what i want to do I would like to merge two dataframes together based on a keyed variable in one dataframe linking to the other dataframe. Only some of the cases will match but i would like to keep the others as well. My dataframes have 67 and 28 cases respectively and i would

Hi All, I've finally gotten around to database access using R. I'm happily extracting rows from a MySQL database using RMySQL, but am having problems appending rows to an existing table. What I *want* to do is to append rows to the table, allowing the database to automatically generate primary key values. I've only managed to add rows by using dbWriteTable( con,

>What happens if you make SPEEX_PREPROCESS_SET_ECHO_SUPPRESS_ACTIVE less >aggressive. Does it end up with too much echo or it just doesn't realise >that it's in double-talk conditions? My impression is that it does not make much difference on the timing to set this parameter less aggressive. Depending on the how loud the near end is talking it may detect double talk but most

I would like to know if my vision of things is correct about frame structure. -------------------------------------------------------- Frame header -------------------------------------------------------- Subframe1 header|Subframe1 content| -------------------------------------------------------- Subframe2 header|Subframe2 content| --------------------------------------------------------

Hi Everyone,  Sorry to ask what I think is a basic question but I really haven't found my answer yet in the archives.  I am trying to run a mixed effects model in R using the lme package. My experiment is such that I am interested in the effects of Temperature (2 levels) and Species (3 levels) on Growth. I collected individuals from three populations within each species. Because individuals

>> I think the residual echo estimation is fairly reliable but I do not know >> how to use this to improve Pframe and in that way solve our main problem >> with the gain during near end talk. > > How can you tell that the residual echo estimation is reliable? in any > case, I suspect that the whole Pframe idea might have to be revised > (i.e. computing it completely

Hi All We are working on an ARM-based speaker phone application where the speaker and microphone is placed roughly 8 cm from each other (similar to this one: http://www.voipsupply.com/images/CHAT50SPLASH.jpg). We are using Speex AEC and preprocessor to handle the acoustic echo. The AEC typically contribute with ERLE of 15-20 dB which should be as expected from the algorithm. Additionally we need

Hi Jean-Marc > Can you explain what you mean here by "speech switching" By speech switching I mean the adaption of "gain2" when near-end or far-end is talking. What is important is that the timing is good and that the gain is low/high while far/near-end is talking. By timing I mean that the "gain2" should remain low until all far-end talk is final and that the

I have been using the sp package to deal with gridded data. I would like to know how to extract the vertices (x,y) of polygons that outline areas of like-valued cells in a grid. Here is a simple 3x3 grid: 2 2 1 1 2 1 1 1 3 x <- c(1,1,1,2,2,2,3,3,3) # define a 3 x 3 array of points y <- c(1,2,3,1,2,3,1,2,3) h <- SpatialPoints(cbind(x,y)) # make these an sp object of the points

Dear friends, suppose my dataset is the following data: id<-1:9 x<-c(1,2,3,1,2,3,1,2,3) y<-c(1,1,1,2,2,2,3,3,3) data<-data.frame(id,x,y) id x y 1 1 1 1 2 2 2 1 3 3 3 1 4 4 1 2 5 5 2 2 6 6 3 2 7 7 1 3 8 8 2 3 9 9 3 3 i want to do sampling like this:say the sample size is 3. First: random sampling from x; Next ,random sampling from

Dear all, I am analyzing some data that requires a mixed model. I have been reading Pinheiro and Bates' book, but cannot find the notation to fit the following model: Suppose I have the dataset below. Here I am fitting variable p as a fixed effect, variable h as a random effect and variable t as nested within h. I would like to include the variable j as well as an independent (non-nested)

Dear users, I'm trying to produce a 3d bar plot but the x and y dimensions have categorical data -- so I only want 3 points on each axis. So I try: require(scatterplot3d) mymat<-data.frame( x=c(1,1,1,2,2,2,3,3,3), y=c(1,2,3,1,2,3,1,2,3), z=c(1,2,3,4,5,6,7,8,9)) scatterplot3d(mymat, type="h", lwd=5, pch=" ", xlab="xlabel",

Dear R-users, I generate a dataset "d", and want to get a subset from it. ** *z<-rnorm(9) coords<-cbind(x=c(1,1,1,2,2,2,3,3,3),y=c(1,2,3,1,2,3,1,2,3)) d<-SpatialPointsDataFrame(coords, data.frame (z=z[1:9]))* The result*/dataset* is coordinates z 1 (1, 1) 1.41173570 2 (1, 2) 0.18546503 3 (1, 3) -0.04369144 4 (2, 1) -0.21591338 5 (2, 2)

Dear all, I have one dependent variable y and two independent variables x1 and x2 which I would like to use to explain y. x1 and x2 are design factors in an experiment and are not correlated with each other. For example assume that: x1 <- rbind(1,1,1,2,2,2,3,3,3) x2 <- rbind(1,2,3,1,2,3,1,2,3) cor(x1,x2) The problem is that I do not only want to analyze the effect of x1 and x2 on y but

I am trying to draw maps for the world using: library(rworldmap) library(maptools) library(RColorBrewer) tmp2<- dput(head(pece,10)) structure(list(iso3 = c("AUS", "AUT", "BEL", "CAN", "CHE", "CHL", "CZE", "DEU", "DNK", "ESP"), eps_score = c(0.877343773841858, 2.68984365463257,

On Mar 28, 2004, at 8:23 PM, Jean-Marc Valin wrote: >> The st->zeta pointer isn't freed in the >> speex_preprocess_state_destroy() >> function of the preprocess.c file (alloced in line 167). It's in >> Speex 1.1.4 >> by the way. > > Oops... Thanks for letting me know. I'll change that for the next > release (in the mean time, the fix is

Martin Morgan commented in email to me that a change to any slot of an object that has other, large slot(s) does substantial computation, presumably from copying the whole object. Is there anything to be done? There are in fact two possible changes, one automatic but only partial, the other requiring some action on the programmer's part. Herewith the first; I'll discuss the second

Forgot to copy the list Dear Jim, Thank you for your reply. I must be doing something wrong, If this is my command to plot a map of Europe: eps_europe <- mapCountryData(n, nameColumnToPlot="eps_score", mapTitle="EPS Score - Europe",colourPalette=colourPalette, catMethod="fixedWidth", missingCountryCol = "white",

Hi Miluji, Try this: arrows(-100,-140,100,-140,code=3) Jim On Fri, Apr 8, 2016 at 10:24 PM, Miluji Sb <milujisb at gmail.com> wrote: > I am trying to draw maps for the world using: > > library(rworldmap) > library(maptools) > library(RColorBrewer) > > > tmp2<- dput(head(pece,10)) > structure(list(iso3 = c("AUS", "AUT", "BEL",

Dear David, Thank you for your answer. Sorry for the embarrassing mistake. However, even with when I generate a map for the whole world using: eps <- mapCountryData(n, nameColumnToPlot="eps_score", mapTitle="EPS Score",colourPalette=colourPalette, catMethod="fixedWidth", missingCountryCol = "white", addLegend=FALSE) And then use: