similar to: Correlation Mapping

This seems like a question that I should be able to answer on my own but after looking at the documentation I cannot seem to find the correct method. How do I add lines to a bar plot that extend from the vertical axis? For example, my vertical axis is numbered in increments of 10 and I would like these to go across the whole graph. Also, is there a way to have R label the value of each bar so

When I run a linear regression and include a variable in the regression with as.factor i.e. lm(y ~x +as.factor(x1) and i read the output as as.factor(x1)1.... as.factor(x1)2... etc. how do i interpret the estimate for each level? Is this simply to be regarded as a shift in the equation predicted by the intercept and independent variable x? jdr -- Justin Rapp 409 S. 22nd St. Apt. 1

All, Happy World Cup and Wimbledon. This morning finds me with the first of my many daily questions. I am running a ks.test on residuals obtained from a regression model. I use this code: > ks.test(Year5.lm$residuals,pnorm) and obtain this output One-sample Kolmogorov-Smirnov test data: Year5.lm$residuals D = 0.7196, p-value < 2.2e-16 alternative hypothesis: two.sided Warning

I have a vector containing players' weights. When I enter mode(data.linear$Weight) "numeric" is returned. When I type mean(data.linear$Weight) NA is returned. Any ideas as to why this may be the case? I am trying to calculate this ultimately so I can superimpose a normal density line over a histogram containing the weights?

Hi, I'm kinda new of the R world. I need to use the heatmap or heatmap.2 function to plot correlation values. 2 questions: - how can I specify a color palette? (would like to have a transition from blue(-1) to white(0) to red(1)) - how can I use heatmap.2 imposing a specific order (like hclust.order)? I mean, I don't want heatmap.2 to re-cluster/re-order my data but just to plot them

Hi, i created a graph with heatmap(sma) function: heatmap(dataHeat(x)) and I wish to change the gradation of colors from blue to red, how could i do? Using "heatmap(dataHeat(x), col=c(2,4))" i will use only 2 colors without gradation. Ty so much Andrea

Hi all, Does anybody have the source code of stochastic volatility models in R or Matlab, for example, the Bayesian based or the simulation based SV estimations as described by Prof Eric Zivot in the following discussion? https://stat.ethz.ch/pipermail/r-sig-finance/2005q4/000501.html -------------- I am wondering what is the current status of estimating stochastic vol models and what's

Hi, How do I anchor z=0 to the white color in a levelplot so that the color changes from cyan to magenta precisely as z changes from negative to positive? Also is it easy to change color scheme, say to blue/red as it's more dramatic? Is there a better function for showing heatmap with a color bar? Thanks in advance for any help, I've played with image, heatmap and levelplot a little and

Dear all, S+Finmetrics has a number of very specilised functions. I am particularly interested in the estimation of cointegrated VARs (chapter 12 of Zivot and Wang). In this context the functions coint() and VECM() stand out. I looked at package "dse1", but found no comparable functionality. Are there any other packages you could point me to? In general, are there efforts for

Hi, I apologize in advance if this is the wrong area to post this message. I would like to know if there is an "R" equivalent for the "S+finMetrics" package? I'd like to be able to use "R" to go through the examples provided in the book "Modeling Financial Time-Series with S-Plus" (E. Zivot and J. Wang). I was told that "R" and

Hello R-Community, I am a rookie in R and I am fascinated with the power of bio computing by R. I am analysing gene expression data from Real time PCR. I have used absolute gene quantitation to measure gene copy number in all my transcripts. All my data has been normalised them to a housekeeping gene, which is constitutive expressed. My problem is as follows. After normalising some of the genes

This is more of a statistics question with implementation implications. I have used R to calculate logistic regressions for various characterstics. I would now like to verify that the difference between a particular subset is significantly different from the logistic regression of the entire set. Example. I have a logistic regression containing every running back drafted between 1980-2000. I

Hello, I install wine 20041201 with a rpm from sourceforge. I always have a wrong version number : [didier@Lucius didier]$ ls -l /usr/bin/wine -rwxr-xr-x 1 root root 7036 d?c 1 21:42 /usr/bin/wine* [didier@Lucius didier]$ /usr/bin/wine Wine 20040914 Usage: wine PROGRAM [ARGUMENTS...] Run the specified program wine --help Display this help and exit wine

I would like to organize my data as follows: I have a table that contains various data, and the numbers represent a level of similarity between these data, eg RF00013 has 100% similarity with the data RF00014. I would leave my table as a heatmap where darker colors represent higher similarity, and the lighter colors represent less level of similarity. I'm using version 2.11 of R. these

Hi, Can anyone tell me how to set Z-score according to my own requirement as the below code is taking as per the file entries. Any help would be appreciable. library(gplots) x=read.table("final.txt", header=TRUE) mat=data.matrix(x) heatmap.2(mat, col=colorRampPalette(c("green","white","red"))(256), #col=greenred(75), Rowv=TRUE, Colv=FALSE, distfun = dist,

I'm having trouble getting myself in to the administrators group. I'm using samba as a domain controller. I have a samba account called administrator. I have these settings in my smb.conf:: domain group map = /etc/samba/groups.mapping domain user map = /etc/samba/domainuser.mapping local group map = /etc/samba/localgroup.mapping This is in my domainuser.mapping to alias the

I've looked around but I can't find the method in R for testing whether the resulting estimated coefficients of an AR model imply that the model is invertible. To quote from eric zivot's blue book : " the AR(p) is invertible provided the rots of the characteristic equation Phi(z) = 1 - phi_1*z - phi_2*z^2 = phi_3*z^3 - ..... Phi_p*z^p = 0 lie outside the complex circle".

Is anyone using Samba 3 in a production environment? If so what version and how stable is it? -- Bert Rapp North Trail RV Center 239.693.8200 __ There are 10 types of people in this world, those who understand binary and those who don't.

I want to be able to resolve windows machine names to their IP addresses while using Linux. What I'd like to be able to do, from my linux box at the command line is this, ping windows_machine_name Is there any way I can do this?

Dear list and Martin, I'm testing different approaches to fit an electricity demand time series and come upon the fracdiff package (v 1.3-1) for fitting fractional ARIMA models. The following questions are motivated by this package. 1. Despite having a help page, the residuals and fitted functions don't seem to have implementation, or did i miss something obvious? Alternatively, having a