similar to: SMACOF joint configuration plot with bread data? (Michael Kubovy)

Dear R-helpers, I have dist class objects for 10 individuals rating the dissimilarities (on a 100-point scale) of the same 10 faces (analogous to the bread data). I would like to get an individual differences scaling jointly for the individual judges and the faces, and plot them on the same axes. This is the example: library(smacof) data(breakfast) res.rect<-smacofRect(breakfast,

Dear UserR's, The smacof package (see also our PsychoR repository on http://r-forge.r-project.org/projects/psychor/) is uploaded on CRAN. This package provides the following approaches of multidimensional scaling (MDS) based on stress minimization by means of majorization (smacof): - Simple smacof on symmetric dissimilarity matrices - smacof for rectangular matrices (unfolding models) -

Dear all, My data includes almost three thousand people who rank ten categories into three variables. The simple example below is almost same except I have many missing values. x <- cbind( sample( LETTERS[1:10] , 3000 , replace = TRUE ) , sample( LETTERS[1:10] , 3000 , replace = TRUE ) , sample( LETTERS[1:10] , 3000 , replace = TRUE ) ) I try to figure

Hello, I have a matrix with 6 columns and 12 rows. I want to extract out those IDs (rownames) from my matrix which have a negative values. For each ID(row) if the negative value is even under 1 column it needs to be extracted out. I will be grateful for any correct suggestion. Thanks Manisha Here is the matrix that I am working on: ID A B C D E F 1 -4.18972 -3.8946

Hello, I will appreciate any suggestion for this simple problem. I have a matrix of characters "A", "P", "M". I want to convert those characters to integers 0,1, 1 respectively. I am using the following R statements: exprs.new<-gsub("P",1,exprs) exprs.new1 <- gsub("A",0,exprs.new) exprs.new2 <-

Hi, I am having troubles with creating an eSet and would appreciate any help on the following problem. I am trying to create an eSet using the following code pd <- read.table(file="pdata.txt",header =TRUE,row.names=1); colnames(pd) <- c("type","tumor","time","id"); pdN <- list(type =

Hello, I am trying to calculate the median of numbers across each row for the data shown below , with the condition that if the number is negative, that it should be ignored and the median should be taken of only the positive numbers. For eg: data is in Column A,B,C. Column D and E demonstrates what I want to get as answer A B C Median median value -13.6688115 -32.50914055

Hello, I am trying to extract an estimator for the bread of the sandwich function. I used bread(fitted model) however it seems that I have missed something as an error message "no applicable method for "bread" appears. My fitted model is a Spatial simultaneous autoregressive error model.(errorsarlm in spdep package) Can anyone please tell me what I might be doing wrong? Your

Skipped content of type multipart/alternative-------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: image/gif Size: 15327 bytes Desc: not available Url : http://lists.linux-foundation.org/pipermail/virtualization/attachments/20070417/d7e48364/attachment.gif

Skipped content of type multipart/alternative-------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: image/gif Size: 15327 bytes Desc: not available Url : http://lists.linux-foundation.org/pipermail/virtualization/attachments/20070417/d7e48364/attachment.gif

Hello, I have a question about running R in a cluster environment. The shell script I am running looks like this: #!/bin/bash cd /nfs/apollo/2/c2b2/users/mb0001/Data /nfs/apollo/1/shares/software/core_facility/local/x86_64_rocks/R/current/bin/ R --save < calculate.R >& script.out I have used the "-save" command to save the R workspace (If, I understand it

Hi, I have a query regarding usage of hist (histogram) function in R. I have a data where the range of the x -axis is from 0.0-1.0. When I use hist the ticks on the x-axis it gives me by default is at 0.0,0.2,0.4,0.6,0.8 and 1.0. If I want more ticks such that the x-axis has 0.0,0.1,0.2,0.3...till 1.0 what parameter should I use in the hist function? Thanks manisha

Hello, I'm trying to read a file rows at a time, so as to not read the entire file into memory.? When reading the "connections" and "readLines" help, and "R help archive," it seems this should be possible with read.csv and a file connection, making use of the "nrows" argument, and checking where the "nrow()" of the new batch is zero rows.

Hello, I am trying to do a spearman correlation. My data has tied values. To overcome this issue, I am adding some random noise (values) to my original data. However when I add the random noise to the data, the final matrix does not show the new values. I guess the reason being that the noise I add is very small and the full value including the decimals gets truncated to show only the value

Hi Everybody, please can you help me how to call BayesX in R in order to see the graph already exist in BayesX Thanks ---------- Forwarded message ---------- From: <r-help-request@r-project.org> Date: Sat, Jan 22, 2011 at 5:00 AM Subject: R-help Digest, Vol 95, Issue 22 To: r-help@r-project.org Send R-help mailing list submissions to r-help@r-project.org To subscribe or

Hello, This is an urgent request. I want to convert a list of 3 elements into a matrix and I am not sure how to do it. The list looks like this: List of 3 $ : num [1:15364, 1] 0.133 0.622 0.588 1.024 0.583 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:15364] "6420681" "3610072" "2260458" "60689" ... .. ..$ : NULL $ :

Problem################################################################# I am having a problem combining a matrix and elements of a list into one data frame. Data#################################################################### The matrix is ludwig.results and dim of matrix is 213,8. The list is called symbols and its length is 213. Following is an example the structure of my matrix

Hello, I will be very obliged if someone can help me with this statistical R problem: I am trying to do a Pearson correlation on my datasets X, Y with randomization test. My X and Y datasets are pairs. 1. I want to randomize (rearrange) only my X dataset per row ,while keeping the my Y dataset as it is. 2. Then Calculate the correlation for this pair, and compare it to your true

Manisha, I'm still here. :-) Here's the function: // Returns the average power level in the given signal float getPower(signed short int *signal, int numSamples) { int i; float amp; float powerSum = 0.0f; for (i = 0; i < numSamples; i++) { amp = (float) abs(signal[i]); powerSum += amp * amp; } return powerSum / (32768.0f * 32768.0f *

Hi Please call or email me if you would be interested in the following project Senior Rules Engine (ILOG) Consultant Location: Saint Louis, MO Duration: 6 months Skills: At least 5 years strong development experience with OO languages, specifically on complex web applications using Java J2EE 3 years of Rules Engineering experience, Rules engine : ILOG experience is required