similar to: Which cluster function can be used to cluster a correlaiton matrix?

Dear R-helpers I have a stupid question about cbind function. Suppose I have a dataframe like this Frame: A 10 C 20 B 40 and a numeric matrix like this Matrix: A 1 B 2 C 3 cbind(Frame[,2],Matrix[,1]) simply binds these two columns without checking the order, I mean, the result will be A 10 1 B 20 2 C 30 3 rather than A 10 1 B 30 2 C 20 3 So my problem is: Is there any solution for R to bind

If I use the following command to plot points: plot(c(1,2,2,3,3,3), type="p", pch=20, ylab="Y Label", xlab="X Label", xaxt="n") there is a large amount of space between the label "X Label" and the actual x-axis. If I change the xaxt="n" to xaxt="s", the label "X Label" don't move at all. Is there a way to get

Dear List What is the R package equivalent of Proc Varclus or Information Value. ANy assistance in determining R equivalents of f Oblique Component Analysis (PROC VARCLUS), Information Value (IV) and Weight Of Evidence (WOE) analysis, and business intelligence http://www.nesug.org/proceedings/nesug06/an/da23.pdf Regards, Ajay Websites- http://decisionstats.com [[alternative HTML version

Hello, I have two dataframes, one with a time series of variables and another one with biological data of each plot. the column names correspond to each other plot1 plot 2....... 1983 ... .... 1984 ... .... ... and plot 1 plot2 1 ... ... 2 is it somehow possible to use acf() with two data frames and get a p values for the whole correaltion of these

I am interested in finding an R version of SAS "Proc Varclus". SAS's Proc Varclus implements an oblique cluster analysis based on principal components. How can I find out if R has a package that runs the same algorithm implemented in SAS "Proc Varclus"? Thank you, Mary Helen Black __________________________ Mary Helen Black, M.S. Keck School of Medicine of USC

Hi All, I'd like to build a package for the community that replicates the output produced by SAS "proc varclus". According to the SAS documentation, the first few steps are: 1. Find the first two principal components. 2. Perform an orthoblique rotation (quartimax rotation) on eigenvectors. 3. Assign each variable to the rotated component with which it has the higher squared

Dear R users: is there a package, similar to varclus in SAS or varclus in S, ported or written for R? Also, is there any other package in R that was designed for grouping the variables under different measures of distance (in cases where data is non-Gaussian, autocorrelated, and so on). Janusz. -- ** Janusz Kawczak ** ** UNC at Charlotte,

I'd like to control my namespace thoroughly, separated by task. Is there a way, in R session, to introduce namespaces for tasks dynamically and switch them as needed? Or, is there a combination of load/save workspace steps which can facilitate this? Cheers, Alexy

Hi, I'll apreciate your guidance on how can I re-create the output from SAS PROC VARCLUS in R. I've found the varclus function in Hmisc. However, is it possible to use that function to compute for each variable the 1-R**2 ratio (this is the ratio of 1 minus the R-squared with Own Cluster to one minus the R-squared in the Next Closest cluster)? Thanks in advance for any help, Lars.

Dear All, I wonder if this is a technical or an interpretation problem. I fitted an lme model including a random intercept and a random slope. The estimated correlation, from the lme, between the random intercept and the random slope is equal to 1. Does it mean that I should suppress one of the random effect from the model? Thanks a lot, Bernard

On Mon, Sep 14, 2020 at 05:48:07PM +0300, Dan Carpenter wrote: > Hi Jie, > > url: https://github.com/0day-ci/linux/commits/Jie-Deng/i2c-virtio-add-a-virtio-i2c-frontend-driver/20200911-115013 > base: https://git.kernel.org/pub/scm/linux/kernel/git/wsa/linux.git i2c/for-next > config: parisc-randconfig-m031-20200913 (attached as .config) > compiler: hppa-linux-gcc (GCC)

On Mon, Sep 14, 2020 at 05:48:07PM +0300, Dan Carpenter wrote: > Hi Jie, > > url: https://github.com/0day-ci/linux/commits/Jie-Deng/i2c-virtio-add-a-virtio-i2c-frontend-driver/20200911-115013 > base: https://git.kernel.org/pub/scm/linux/kernel/git/wsa/linux.git i2c/for-next > config: parisc-randconfig-m031-20200913 (attached as .config) > compiler: hppa-linux-gcc (GCC)

Add an I2C bus driver for virtio para-virtualization. The controller can be emulated by the backend driver in any device model software by following the virtio protocol. This driver communicates with the backend driver through a virtio I2C message structure which includes following parts: - Header: i2c_msg addr, flags, len. - Data buffer: the pointer to the I2C msg data. - Status: the

Add an I2C bus driver for virtio para-virtualization. The controller can be emulated by the backend driver in any device model software by following the virtio protocol. This driver communicates with the backend driver through a virtio I2C message structure which includes following parts: - Header: i2c_msg addr, flags, len. - Data buffer: the pointer to the I2C msg data. - Status: the

Hello, and Happy New Year. My default working directory is getting very cluttered. I know that I should be using a different working directory for each project (I work in Windows), but do not know how to go about creating different ones and moving back and forth between them. I have read Venables & Ripley (Modern Applied Statistics with S-PLUS, 1994) but this seems out of date with respect

Hi Friends I am new here and have a problem Year Market Winner BID 1 1990 ABC Apple 0.1260 2 1990 ABC Apple 0.1395 3 1990 EFG Pear 0.1350 4 1991 EFG Apple 0.1113 5 1991 EFG Orange 0.1094 For each year and separately for the two

Hi there I have two dataframes Dataframe_1 column_1 colum_2 121 12345 145 1675 167 2765 Dataframe_2 column_1 column2 121 abc 345 lmn 167 efg I want a resulting dataframe 121 12345 abc 167 2765 efg how do i go abt it Ramya -- View this message in context: http://n4.nabble.com/Dataframe-help-tp947934p947934.html Sent from the R

Hello, Could anybody help me with this question? Example data frame NAME TICKER SHARES PERFORMANCE John ABC 100 0.05 John ABC 1000 1.5 Alice EFG 20 0.3 Paul HIJ 50 1.0 Paul JKL 60 2.0 Paul MNO 12 3.0 I would like to aggregate this dataframe by

Hello, I have two problems in automating multiple glm(s) operations. The data file is tab delimited file with headers and two columns. like "ABC" "EFG" 1 2 2 3 3 4 dat <- read.table("FILENAME", header=TRUE, sep="\t", na.strings="NA", dec=".", strip.white=TRUE) dataf <- read.table("FILENAME", header=FALSE,

On 26-05-13 14:20, Martijn van Beurden wrote: > On 26-05-13 11:33, Erik de Castro Lopo wrote: >> Hi all, >> >> In my latest commit I have updated all version strings and copyright >> dates. > > Here are two patches for the website, updating the copyright as well > and copying the changelog. I would like to propose copying the > contents of flac-website.git