search for: quantifications

Hello, I am entirely new to this list, and not very experienced with R yet (but very excited about it!!). I am struggling with a dataset of x and y coordinate points I am plotting as a density map as follows: trial <- read.csv(file="F12.csv", sep=",", skip=32, head=TRUE) trial.sub <- subset(trial, Seconds>=30) trial.sub <- subset(trial.sub, Seconds<=1830) d

...ctor predictor factors.quant <- rep(c(18.8,29.9),c(10,10)) ##quantificatio of factors factors.quant.1 <- rep(c(16.9,38.9),c(10,10)) ##second quantificatio of factors response <- 0.8*x + 18 + factors.quant + rnorm(20) ##response lm.quant <- lm(response ~ x + factors.quant) ##lm with quantifications lm.fact <- lm(response ~ x + factors) ##lm with factors lm.quant.1 <- lm(response ~ x + factors.quant.1) ##lm with quantifications lm.fact.1 <- lm(response ~ x + factors) ##lm with factors par(mfrow=c(2,2)) ## comparisons of two fittings plot(x, response) lines(x,fitted(lm.quant),col=&qu...

Hi, I'm a new user of the R package, and I need to generate recurrence plots for a set of 56 time series data. The package tseriesChaos has the function "recurr" that gives a plot. But what I really need are the recurrence plot parameters that are calculated from each plot (like %recur, %det, trend, etc...) and that can be stored dynamically in a output file for all the 56 datasets.

...v31/i04 will get a major programming overhaul. This will take some time, but what's a few years on a 40-year project. Suggestions from the audience are welcome. homals() has a core loop over the m variables in which 1. tapply is used to compute category quantification (centroids) 2. category quantifications are then adjusted to satisfy the rank and level constraints The idea is to replace 1 by least squares fitting of a B-spline and to adjust 2 accordingly. The core will be re-programmed in C and/or FORTRAN (sometimes using existing routines), and the loop over variables will be parallelized using...

...v31/i04 will get a major programming overhaul. This will take some time, but what's a few years on a 40-year project. Suggestions from the audience are welcome. homals() has a core loop over the m variables in which 1. tapply is used to compute category quantification (centroids) 2. category quantifications are then adjusted to satisfy the rank and level constraints The idea is to replace 1 by least squares fitting of a B-spline and to adjust 2 accordingly. The core will be re-programmed in C and/or FORTRAN (sometimes using existing routines), and the loop over variables will be parallelized using...

Hi guRus, My discipline (experimental psychology) is gradually moving away from Null Hypothesis Testing and towards measures of evidence. One measure of evidence that has been popular of late is the likelihood ratio. Glover & Dixon (2005) demonstrate the calculation of the likelihood ratio from ANOVA tables, but I'm also interested in non-parametric statistics and wonder if anyone has any

Hello, I am an absolutely beginner with regards to R, so forgive me for my potentially very stupid questions. I have been attempting to create recurrence plots using R. The data I am using is based on a mutually exclusive and exhaustive coding scheme with over 40 individual codes which can be assigned to 6 higher order categories. When I carry out the usual rqa command, my plot is pretty much

Dear useRs, I am using the gamm function in the mgcv package to model a smooth relationship between a covariate and my dependent variable, while allowing for quantification of the subjectwise variability in the smooths. What I would like to do is to make subjectwise predictions for plotting purposes which account for the random smooth components of the fit. An example. (sessionInfo() is at

On Fri, Jul 31, 2015 at 6:18 PM, Reid Kleckner <rnk at google.com> wrote: > Consider this pseudo-IR and some possible transforms that I would expect to > be semantics preserving: > > void f(i32* readonly %a, i32* %b) { > llvm.assume(%a == %b) > store i32 42, i32* %b > } > ... > %p = alloca i32 > store i32 13, i32* %p > call f(i32* readonly %p,

We are looking for a MSc or PhD holder in Bioinformatics,Molecular/Computational Biology or Computer Science to support ourbiomarker team in the identification, validation and furtherdevelopment of biomarkers. The chosen candidate will be part of ourmultidisciplinary team conducting studies to discover and developdiagnostic biomarkers as well as biomarkers for the characterization ofdisease models

...rd scaling, Benz?cri scaling, Goodman scaling, row-centroid, or column-centroid scaling. The summary method writes out a table with the chi-square (inertia) decomposition, it also writes out the singular values, and their asymptotic standard errors under multinomial sampling. Plots of the category quantifications (row scores and column scores) can be made optionally with asymptotic confidence ellipses, again based on multinomial sampling. The package contain various utilities to switch data formats, in particular to transform data frames to Burt matrices, to indicator matrices, and even to fuzzy indicator...

dcemri 0.10 has been released on CRAN "dcemri" is (to the best of my knowledge) the first public-domain software package for the quantitative analysis of dynamic contrast-enhanced MRI (DCE-MRI) and diffusion-weighted MRI (DW-MRI or DWI). Data import and export is availble for ANALYZE or NIfTI data formats (sorry, no DICOM). Images are stored in neurological format regardless of the

require(gplots) data(rtPCR) overplot( RQ ~ Conc..ug.ml. | Test.Substance, data=rtPCR, subset=Detector=="ProbeType 7" & Conc..ug.ml. > 0, same.scale=TRUE, log="xy", f=3/4, main="Detector=ProbeType 7", xlab="Concentration (ug/ml)", ylab="Relative Gene Quantification" ) # Error in lowess.default(mf[[-response]], mf[[response]], f = f,

...rd scaling, Benz?cri scaling, Goodman scaling, row-centroid, or column-centroid scaling. The summary method writes out a table with the chi-square (inertia) decomposition, it also writes out the singular values, and their asymptotic standard errors under multinomial sampling. Plots of the category quantifications (row scores and column scores) can be made optionally with asymptotic confidence ellipses, again based on multinomial sampling. The package contain various utilities to switch data formats, in particular to transform data frames to Burt matrices, to indicator matrices, and even to fuzzy indicator...

dcemri 0.10 has been released on CRAN "dcemri" is (to the best of my knowledge) the first public-domain software package for the quantitative analysis of dynamic contrast-enhanced MRI (DCE-MRI) and diffusion-weighted MRI (DW-MRI or DWI). Data import and export is availble for ANALYZE or NIfTI data formats (sorry, no DICOM). Images are stored in neurological format regardless of the

...espondence analysis, nonlinear principal component analysis, nonlinear multiset canonical correlation analysis. Implements everything in Gifi (1990) or SPSS Categories, and then some. Status: done. -- aspect package (optimizing functions of correlation matrices over transformations/quantifications of the variables -- functions implemented are sums of eigenvalues, determinants, multiple correlations, power sums). Status: done. -- optim package (miscellaneous optimization routines -- currently has pooled-adjacent-violaters for monotone regression and the hildreth-desopo coor...

Dear Sir/ma'am, I'm using R-3.4.4 and TCGAbiolinks package for the analysis of GDC data. Till today i have reintalled R and R studio for 5 times but one error comes when i analyze the GDC data at the step GDCprepare. the data i am using is not a legacy data of GDC data portal. I think the problem is with my Laptop only because i have run the same commands in another PC and there was no

Dear all, My company located in Innsbruck, Austria, has an opening for a biostatistician. If you have any interest, feel free to contact me or Dr Markus Speiser (markus.speiser*at*biocrates.com). Best regards, David ################## Biostatistician (m/f) Job Description BIOCRATES Life Sciences AG is a leading metabolomics company using a mass-spectrometry based technology

Just got a pointer to this via ACM "TechNews Alert" for today: http://www.acm.org/technews/articles/2004-6/0818w.html#item2 Seems that "... French computer scientist Antoine Joux reported on Aug. 12 his discovery of a flaw in the MD5 algorithm, which is often used with digital signatures...." There's more in the article cited above. Peace, david -- David H. Wolfskill

Hi, I am having difficulties in finding ways to analyse scatter plots and quantitatively differentiate between them. Since this is best demonstrated by a figure, I have attached one with 4 subfigures (a)-(d). Qualitatively (and I hope you would agree with me), sub-figures (a), (b), and (d) seem to represent uniform 2d scatters. It is hard for me to quantify it, but it seems as if the envelopes