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14 results for “from:sandsky”

function for standard normal cumulative distribution
sandsky · Nov 1, 2008 · r-help

Is there anyone knowing a function for standard normal cumulative distribution? ?(z=-0.1)=? also ?(z=?)=0.025 -- View this message in context: http://www.nabble.com/function-for-standard-normal-cumulative-distribution-tp20282804p20282804.html Sent from the R help...

count data with a specific range
sandsky · Sep 29, 2008 · r-help

Hi there, The data is data<-c(2,6,13,26,19,25,18,11,22,25) I want to count data for these rages: [0~10]: [11~20]: [21-30]: Is anyone can help me? Thank you in advance...

count data with some conditions
sandsky · Oct 31, 2008 · r-help

Hi there, I have a data set: a=cbind(5,2,4,7,8,3,4,11,1,20) I want to count # of data, satistfying a[1]<a[2:10]. Anyone helps me solving this case? Thank you in...

Error: function cannot be evaluated at initial parameters
sandsky · Sep 18, 2008 · r-help

I have an error for a simple optimization problem. Is there anyone knowing about this error? lambda1=-9 lambda2=-6 L<-function(a){ s2i2f<-(exp(-lambda1*(250^a)-lambda2*(275^a-250^a)) -exp(-lambda1*(250^a)-lambda2*(300^a...

how to compute other columns without a column for sample name
sandsky · Jul 29, 2009 · r-help

Data has the first row for variable name and the first column for sample name. I want to take "Log" for all data, but how to compute without the first column for sample name. > log.raw_data=log(raw_data...

IWLS vs direct ML estimation
sandsky · Nov 3, 2008 · r-help

Hi, I am thinking about IWLS vs ML estimation. When I use glm() for a 2-parameter distribution (e.g., Weibull), I can otain the MLE of scale parameter given shape parameter through IWLS. Because this scale parameter usually converges...

re ading transposed data in read.csv
sandsky · Aug 14, 2009 · r-help

I have a data set (csv); e.g., ID samp1 samp2 samp3 samp4 G1 23 32 12 87 G2 85 45 49 76 G3 12 46 39 28 G4 73 26 18 13 and read it: data1<-(read.csv("Datafolder...

Re moving rows which do not satisfy a condition
sandsky · Nov 23, 2009 · r-help

Hello, Considering 5 points in X-Y plain. Data is a 5*2 matrix (5 rows for samples & 2 columns for X and Y) With a distance from the origin, if a distance < 7, remove the row from the Data...

count data with some conditions
sandsky · Oct 31, 2008 · r-help

David, Yes, it is what I want. It is a great help. Thank you, Jin David Winsemius wrote: > > Do you want the count of remaining elements which are strictly > greater than the first element? > > > length(which(a[1] < a[2...

Genmod in SAS vs. glm in R
sandsky · Sep 9, 2008 · r-help

Hello, I have different results from these two softwares for a simple binomial GLM problem. >From Genmod in SAS: LogLikelihood=-4.75, coeff(intercept)=-3.59, coeff(x)=0.95 >From glm in R: LogLikelihood=-0.94, coeff(intercept)=-3...

count data with a specific range
sandsky · Sep 30, 2008 · r-help

I am converting exact time data to interval data and generate samples via Bootstraping. I had a quite long code to get the frequency but your help makes it simpler. Thank you.. jholtman wrote: > >> data<-c(2,6,13,26...

IWLS vs direct ML estimation
sandsky · Nov 4, 2008 · r-help

Mike, Thank you for your valuable reply. I have read Charnes et al. (1976) and Bradley (1973). However, they just showed the equivalence of IWLS and ML solutions, but didn't mentioned the advantage (or disadvantage) of IWLS comparing with...

Error in "[<-"(`*tmp*`, i, value = numeric(0)) :
sandsky · Sep 12, 2008 · r-help

I use "while" loop but it produces an errro. I have no idea about this. Error in "[<-"(`*tmp*`, i, value = numeric(0)) : nothing to replace with The problem description is The likelihood includes two parameters to be estimated: lambda (=beta0...

Loop for the convergence of shape parameter
sandsky · Sep 10, 2008 · r-help

Hello, The likelihood includes two parameters to be estimated: lambda (=beta0+beta1*x) and alpha. The algorithm for the estimation is as following: 1) with alpha=0, estimate lambda (estimate beta0 and beta1 via GLM) 2) with lambda, estimate alpha...

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