similar to: obtaining a ROC curve

Hello, I would like to run a correlation on values in a table that has 4 rows and 136 columns. However, I am only interested in correlating the values in alternating blocks of 15 columns. For example, I would like to correlate the values in row 1, columns 2-16:31-46:61-76:91-106 with values in row 2, columns 2-16:31-46:61-76:91-106. Is there a way to notate this in the cor command so that the

Hi, I'm trying to use Robust non-linear regression to fit dose response curves. Maybe I didnt look good enough, but I dind't find robust methods for NON linear regression implemented in R. A method that looked good to me but is unfortunately not (yet) implemented in R is described in http://www.graphpad.com/articles/RobustNonlinearRegression_files/frame.htm

Dear list I am using the mvr function of the package pls.pcr to compute PLS resgression using a X matrix of gene expression variables and a Y matrix of medical varaibles. I would like to obtain the R2 (sum of squares captured by the model) and Q2 (proportion of total sum of squares captured in leave-one-out cross validation) of the model. I am not sure if there are specific slots in the

Hello, I am having trouble using "optim". I want to maximalise a function to its parameters [kind of like: univariate maximum likelihood estimation, but i wrote the likelihood function myself because of data issues ] When I try to optimize a function for only one parameter there is no problem: llik.expo<-function(x,lam){(length(x)*log(lam))-(length(x)*log(1-exp(-1*lam*

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Full_Name: Anjali Shitole Version: R 2.5.1 OS: Submission from: (NULL) (202.141.157.91) I want to compute coefficient of variation for each subset of data. Each subset is heterogeneous means number of rows in each subset are different.These all subsets are in one dataset situated one by one. i have used aggregate command to calculate mean for each subset. But same command for calculating sd

Hi, Has anyone attempted to build the Speex codec for ARM64? If so, could you please share the build instructions or some references detailing what scripts need to be updated. Regards, Vikram

Hi, On Thu, Jan 8, 2015 at 11:13 PM, Vikram Karve <Vikram.Karve at citrix.com> wrote: > > Hi, > Has anyone attempted to build the Speex codec for ARM64? If so, could you please share the build instructions or some references detailing what scripts need to be updated. I don't have access to any ARM64 hardware, but you might want to try --disable-neon, see:

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Hi , Is there any inbuilt functions to check whether a substring is present in a string and give the result as boolean Thanks -- View this message in context: http://r.789695.n4.nabble.com/String-Manipulation-in-R-tp4633104.html Sent from the R help mailing list archive at Nabble.com.

Dear R-wizards, I'm trying to plot "binned scatterplots", or 2d histograms, if you wish, for a number of groups by using the lattice functionality it works fine for one group at a time, and probably I could find a work-around, but I prefer to do it the elegant way here's an example of what I want, what I tried and where it goes wrong: require(gregmisc) require(lattice) #toy

Hi, I want to convert my MATLAB programs to R studio programs. Kindly guide on the same. [[alternative HTML version deleted]]

The name conflicts in Epi and ROC packages (2 'ROC' functions are the problem) cause the following code to work once, but not twice: library(MASS); data(cats); x = cats[,2] y = ifelse(cats[,1]=='F',0,1) library(Epi); ROC(x,y,grid=0)$AUC library(ROC); AUC(rocdemo.sca(y, x, dxrule.sca)) What is the standard way of resolving name conflicts? Ask maintainers to resolve

Hi, I understand for 1 d classifiers, you can use ROCR package. Is there a package you can plot ROC curve for 2d classifiers? One of my colleagues asked me about this. I have been quite puzzled, conceptually, how you can do the ROC curve for 2d classifiers. Can someone share his/her knowledge or experience? Thanks in advance. -- Waverley @ Palo Alto

*Hi, *Does anyone know how can I show an *ROC curve for R-SVM*? I understand in R-SVM we are not optimizing over SVM cost parameter. Any example ROC for R-SVM code or guidance can be really useful. Thanks, Angel. [[alternative HTML version deleted]]

I might be missing something but I thought that AUC was a measure for comparing ROC curves, so there is nothing else needed to "compare" them. The larger AUC is the higher correlation of 2 variables compared. No other measures or calculations are needed. Jarek Tuszynski -----Original Message----- From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch] On

Dear all, Some functions like 'ROC(Epi)' can be used to perform ROC analyssi, but it needs us to specify the fitting model in the argument. Now i have got the predicted p-values (0,1) for the 0/1 response variable using some other approach, see the following example dataset: id mark predict.pvalue 1 1 0.927 2 0 0.928 3 1 0.928 ..................

Hi, Dear all R users: Does someone know whether R can calculate the Receiver Operating Characteristic (ROC) Curves? I didn't find it from the packages. Thanks a lot. --- Xin

Hi, i have a fairly large amount of genomic data. I have created a dataframe which has "Reference" as one column and "Variation" as another. I want to plot a ROC curve based on these 2 columns. I have serached the R manual but I could not understand. Can anybody help me with the R code for plotting ROC curve. Thnx ashu6886 -- View this message in context:

Hi, Is there any package or code to compare and display correlated ROC curves in R? Thanks, Reza [[alternative HTML version deleted]]