similar to: psy version 0.65 released

Hello, I have climatic data of various years with many missing values. I would like to know what tools in R are most suited to estimate this missing values. (New in R and quite new on statistics). Thanks, G

Hi, I've got two vectors with ratings from two coders, like this: x<-c("red", "yellow", "blue", "red") #coder number 1 y<-c("red", "blue", "blue", "red") #coder number 2 I want to find Cohen's Kappa using the wkappa function in the psych package. The only example in the docs is using a matrix, which

Dears, I'm a college student and In doing my statistics homework. I use R with SEM package as my tool for sem analysis, but my teacher told me AMOS is more suitable for such analysis. Could someone help tell me whether it is true that some commercial software is better accepted in academic fields? Sorry if I should not post such topics here. -- Best Regards, Reeyarn T. Lee Accounting

Dear R users, I am trying to connect an Access database. The code I use is : channel<-odbcConnectAccess("Base") table.db<-sqlFetch(Base,"table",colnames=T) When I look at the table in R, the table imported lacks the first 41 lines, and the column names are the values of the 42nd record. Any hints ? I am working on a WinXP pro 5.1 box, R 2.5-0 compiled from source

Dear professor, I am currently using Design package and the cph formula for assessing multivariable analysis. I am tryng to get the C-index for my survival model based on Dxy coefficient. I am confused since there is a negative value. Do I need to used the absolute Dxy ? index.orig training test optimism index.corrected n Dxy -0.341357727 -0.344002740

Hello, I have 50 raters and 180 cases which are rated as malignant, probably malignant, probably benign, and benign. I want to compare all the raters but I want a weighted kappa to penalize differences between malignant and benign more than differences between malignant and probably malignant. I only found the weighted option in the 2-rater functions (kappa2, wkappa, cohen.kappa). The

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In beta 3 (Windows, libvorbis-1.0beta3.zip, compiled using BCB), I get a runtime overflow on line 322 when encoding a simple pure tone (44100Hz, 96kbps, 128kbps, or 160kbps). Changing the float to a double avoids the problem. float val=decay[i]*decscale; float att=fabs(f[i]/val); /// floating point overflow ... Chris http://www.goldwave.com --- >8 ---- List archives:

Hi, I am submitting a small patch for Vorbis psy.c... * Make use of NEGINF constant where possible Does this look OK? - Michael Index: psy.c =================================================================== --- psy.c (revision 18737) +++ psy.c (working copy) @@ -29,7 +29,7 @@ #include "scales.h" #include "misc.h" -#define NEGINF -9999.f +#define NEGINF (-9999.f)

Hi all, I'm quite new to Vorbis, so please excuse me if I'm writing complete nonsense (and, if possible, tell me where I'm wrong). While searching for optimization possibilities in lib/psy.c, I found the following piece of code in _vp_compute_mask(): if(p->vi->smoothp){ /* compute power^.5 of three neighboring bins to smooth for peaks that get split twixt

> -----Ursprüngliche Nachricht----- > Von: Monty [SMTP:xiphmont@xiph.org] > Gesendet am: Donnerstag, 6. Juli 2000 01:30 > An: vorbis-dev@xiph.org > Betreff: Re: [vorbis-dev] Possible bug in psy.c > > > Hi all, > > > > I'm quite new to Vorbis, so please excuse me if I'm writing complete > > nonsense (and, if possible, tell me where I'm

Hi all, The following is a trivial patch to psy.c, but combining the two loops saves a percent or two (according to gprof). ================================================================= --- psy.c Mon Jun 19 12:05:57 2000 +++ - Wed Jun 28 15:14:17 2000 @@ -550,12 +550,11 @@ frameno++; memset(flr,0,n*sizeof(double)); - for(i=0;i<n;i++)work[i]=fabs(f[i]); - - /* find the highest

This patch enables compilation with GCC 4.7.1 and --enable-shared=yes --enable-static=no --enable-vorbis-psy -------------- next part -------------- diff -r -u speex/configure.ac speex/configure.ac --- speex/configure.ac 2013-04-24 19:08:00.710564608 +0400 +++ speex/configure.ac 2013-04-24 20:04:33.589310544 +0400 @@ -204,7 +204,7 @@ AC_DEFINE([TI_C55X], , [Enable support for TI C55X DSP])

Hello! Some minor bugfixes... source: psy.c function: _vp_psy_init 1. '-' or '+' in this line? maxoc=toOC((n*.5f - .25f)*rate/n)*(1<<(p->shiftoc+1))+.5f; maxoc=toOC((n*.5f + .25f)*rate/n)*(1<<(p->shiftoc+1))+.5f; 2. I know: sizeof(float *) and sizeof(float) are 4 bytes long, but... old lines: p->noisemedian=_ogg_malloc(n*sizeof(float *));

Hi again Sorry, in looking again at sammon and isoMDS I see that they seem to do exactly what I want, except that they are non-metric, which means, as I understand it, that they relate the rank orders of the variables rather than the actual distances. Could I use these non-metric MDS packages even if my distances are metric? Thanks Karen -- Karen Kotschy Centre for Water in the Environment

Hi all, I have relatively small dataset on which I would like to perform a PCA. I am interested about a package that would also combine a method for determining the number of components (I know there are plenty of approaches to this problem). Any suggestions about a package/function? thanks, Nick -- View this message in context:

Hi. I have data which i would want to assess the degree of agreement between two assays, e.g., to evaluate reproducibility or for inter-rater reliability. I have used the Pearson product-moment correlation coefficient. It looks good ranginging between 0.90 to 0.998. Though this looks good. I am told the Concordance correlation coefficient will give a better picture of how reproducible the assay

I'm in this situation: factorlabels <- c("School", "College", "Beyond") with data for 8 families: education.man <- c(1,2,1,2,1,2,1,2) # Note : no "3" values education.wife <- c(1,2,3,1,2,3,1,2) # 1,2,3 are all present. My goal is to create this table: School College Beyond

I work for a Investment group with a very extensive training program and we are having our new hires take a statistics course at University of Chicago where they have to complete some assignments with R. I was wondering if there are any online tutorials that exist where we could get our participants comfortable with R before the class itself? I appreciate any help at all. Thanks, Matt Maxon

I am creating habitat selection models for caribou and other species with data collected from GPS collars. In my current situation the radio-collars recorded the locations of 30 caribou every 6 hours. I am then comparing resources used at caribou locations to random locations using logistic regression (standard habitat analysis). The data is therefore highly autocorrelated and this causes Type