similar to: Hi, a problem in using SNR

Hi All: Let's say I have two dataframes (Condition1 and Condition2); each being on the order of 12,000 and 16,000 rows; 1 column. The entries contain dates. I'd like to calculate, for each possible pair of dates (that is: Condition1[1:10,000] and Condition2[1:10,000], the number of days difference between the dates in the pair. The result should be a matrix 12,000 by 16,000. Really,

Dear R Experts, I am attempting to run a mixed effects model on a within-subjects repeated measures design, but I am unsure if I am doing it properly. I was hoping that someone would be able to offer some guidance. There are 5 independent variables (subject, condition, difficulty, repetition) and 1 dependent measure (value). Condition and difficulty are fixed effects and have 3 levels each

Hi, I am performing experiments in the field of visual perception where we often apply balanced designs. Within a group of normal subjects, we vary different stimulus conditions (like contrast, luminance, temporal frequency of stimulation) and derive some psychophysical or electrophysiological results from our subjects. Often, the main question is to test the effect of these parameters

Dear list members, I want to perform in R the analysis "simultaneous confidence interval for multiple proportions", as illustrated in the article of Agresti et al. (2008) "Simultaneous confidence intervals for comparing binomial parameter", Biometrics 64, 1270-1275. If I am not wrong the R function implementing the Agresti et al. method is prop.test(). I ask an help because I

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 <-

I spent some time on this simple question, also searched the forum, eventually hacked my way to an ugly solution for my particular problem but I would like to improve my coding: I have data of the form: df <- expand.grid(group=c('copper', 'zinc', 'aluminum', 'nickel'), condition1=c(1:4)) I would like to add a new data column "condition2", with values

Hello, I have a data frame >str(dat)'data.frame': 20000 obs. of 30 variables it contains two information-two types of cancers:stage A(A1 to A10) and stage B(B1 to B20) ##totally 30 patients-20000 sets of gene expression I'd like to find the lists for top 20 differentially expressed genes using t-test (by P-value). Here is my code, unfortunately it doesn't work...I need the

I am confused about the @content_for_layout.''cause it will display all the views in the layout.Do I have any methods to let the layout be more OO? I mean that for example,the app currently have more than one views to be displayed,but only some of them to be displayed at the same time at different <div></div> units. I hope there exists a kind of way that: <%= if

Hi all, I have a large dataset that has >10k entries. The dataset is stored in a dataframe with the headers: SubID Condition1 Condition2 Result1 Result2 There are multiple entries for a given SubID(Subject ID). Condition 1 has 3 levels and condition2 has 2 levels (therefore there are 6 possible combinations all together e.g. Cond1 Level1 x Cond2 Level 1 etc.) and i need to compute for 1. The

Hi everyone, I'm trying to create an "if" conditional statement with two conditions, whereby the statement is true when condition 1 AND condition 2 are met: code structure: if ?AND? (a[x,y] <condition1>, a[x,y] <condition2>) I've trawled through the help files, but I cannot find an example of the syntax for incorporating an AND in a conditional IF statement.

On Wed, Sep 24, 2014 at 7:50 PM, Justin Bogner <mail at justinbogner.com> wrote: > Anton Yartsev <anton.yartsev at gmail.com> writes: > > Hello everyone, > > > > I bring to discussion the necessity/design of a new type of smart > pointer. > > r215176 and r217791 rise the problem, D5443 is devoted to the solution. > > r215176 applies several

Hello everyone, I bring to discussion the necessity/design of a new type of smart pointer. r215176 and r217791 rise the problem, D5443 <http://reviews.llvm.org/D5443> is devoted to the solution. r215176 applies several temporary ugly fixes of memory leaks in TGParser.cpp which would be great to be refactored using smart pointers. D5443 <http://reviews.llvm.org/D5443> demonstrates

I implement the following function,which gets CallInst * and should perform the following: 1. Change the value of the argument if condition1 takes place 2. Change the type of the argument if condition2 takes place 3. Add addition argument/s if condition3 takes place void argChange(CallInst * I) { for (unsigned index = 0; index < I->getNumOperands(); ++index) {

Dear all, Hi, I have the problems about converting the matrix to adjacency matrix.Here's my example, a b c d e fa 1.0000000 0.4048823682 0.1228531 0.49046991 0.4945158868 0.307443317b 0.4048824 1.0000000000 0.4367475 0.96949219 0.0007378596 0.560747765c 0.1228531 0.4367474719 1.0000000 0.40037341 0.3157538204

Actually, the SNR calculation in testenc has been broken for a while. The reason for taking the last frame was that the codec would introduce a one-frame latency. I changed that to half a frame (10 ms) a while ago and never updated testenc. Jean-Marc Le lun 01/09/2003 à 13:12, Mike Dunn a écrit : > Hi all, > > I'm new to the group. I'm looking at the speex code with an

Hi everyone, Although this question is more related to ChIP and ChIP-seq, it could be probably anchored in a more general statistical context. The question is : what method is better to assess the significance of the change in a signal (the signal can be DNA binding, for instance) given the background and 2 conditions. <. condition1 (eg no treatment) : background = 1;

Wouldn't it make programming more error-resistant if vectors were initialized with missing data, instad of zeroes or ""? That way, if you assign values to a vector elementwise and you miss some elements (because their indices were not selected or because the assignment didn't work out, see below for code examples) this would be immediately obvious from the value of the vector

Dear R-list, Is there a way to convert the typical long R data-format to a 1-line per subject format? I have data formatted as: Group subj condition variable 1 1 1 746.36625 2 2 1 1076.152857 1 3 1 1076.152857 2 4 1 657.4263636 1 5 1 854.1266667 2 6 1 1191.676154 1 7 1 1028.175385 1 1 2 46.36625 2 2 2 76.152857 1 3 2 76.152857 2 4 2 57.4263636 1 5 2 54.1266667 2 6 2 191.676154 1 7 2 028.175385

Hi all, I'm new to the group. I'm looking at the speex code with an eye towards maybe helping out with either codec optimization or fixed-point implementation, The SNR calculation in testenc.c and testenc_uwb.c doesn't make sense to me. The code is { float enoise=0, esig=0, snr; for (i=0;i<FRAME_SIZE;i++) {

Hi, I'm new to R language. There is a problem I couldn't understand. Hope you can answer my question. when i type >for (i in 1:10){ + print(sample(9,4,replace=T)) +} and it shows ten of four numbers and how do I do to calculate the frequencies in each list? I know there is a hint; list10<-vector(mode="list",length=4) But I don't know how to