similar to: Regression Problem

Hello folks, I am on learning phase of R. I have developed Regression Model over six predictor variables. while development, i found my all data are not very linear. So, may because of this the prediction of my model is not exact. Here is the summary of model : Call: lm(formula = y ~ x_1 + x_2 + x_3 + x_4 + x_5 + x_6) Residuals: Min 1Q Median 3Q Max -125.302

Hello, After development of recommendation engine with the R, before removal of outliers from data-set value of residual standard error was 1351 and after removal of outlier its 100. Still there is no accurate prediction which gives 10% correct(near) prediction. For more fitting i also have tried polynomial model with two ,three and four degree but still no improvement. Is there any most

Hello All, Having some issue with local machine, I need to locate myself on Amazon for running R and Hadoop with Amazon instance. After searching a lot, I can't able to take a decision for choosing Image for Amazon instance. Can any one using R + Hadoop on Amazon. Thanks [[alternative HTML version deleted]]

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As I found the memory problem with local machine/micro instance(amazon) for building SVM model in R on large dataset(2,01,478 rows with 11 variables), then I have migrated our micro instance to large instance at Amazon. Still I have memory issue with large amazon instance while developing R model for this dataset due to large size. I have attached the snap of error with local

I would like to obtain Confidence Intervals for the estimates (unstandardized beta weights) of each predictor in a WLS regression: m1 = lm(x~ x1+x2+x3, weights=W, data=D) SPSS offers that output by default, and I am not able to find a way to do this in R. I read through predict.lm, but I do not find a way to get the CIs for multiple independent variables. Thank you Torvon [[alternative HTML

I have two regressions to perform - one with a metric DV (-3 to 3), the other with an ordered DV (0,1,2,3). Neither normal distribution not homoscedasticity is given. I have a two questions: (1) Some sources say robust regression take care of both lack of normal distribution and heteroscedasticity, while others say only of normal distribution. What is true? (2) Are there ways of using robust

Hi Team, I have configured server signing as mandatory in smb.conf. After configured, guest user is not working when AD is connected. In mac while connecting to samba if i give register user as vignesh/guest, guest user is working. But if I click Guest radio button, guest user is not working. Please find the below configuration and log for reference. [Global] available= yes restrict anonymous=

Hi. First, a little preliminary observation: in this thread, it is indeed a (multiple linear) regression model, the real problem is but my opinion on general questions about R assign. So as I said, I want to do a regression analysis, however, for several target variables or data tables. This case, although the target variable is always the same, but the data comes from different sectors, ie, I

Is there a package that will allow me to fit Brownian motion and Ornstein?Uhlenbeck models of evolution for discrete traits? I know that geiger and ouch have commands for fitting these models for continuous traits, but these aren't suitable for discrete trait evolution, correct? -- View this message in context:

I need help writing function that takes three categorical inputs and returns a vector of summary statistics based on these inputs. The data set contains information on retail goods that can be specified by their retail segment, brand name, and type of good along with its retail price and what it actually sold for. I need to write a function that will take these inputs and average, count, and

Hello everyone, I am Vignesh S, from India. I am interested in working on Nouveau Codegen compiler (On Instruction scheduling polices). Kindly let me and other applicants know, where to start contributing and learn more about the project. Awaiting your reply, Vignesh S -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hi Andrew, If I give register user as vignesh/guest, its working fine. While selecting the Guest radio button, guest user is not working. Guest user is working fine without AD connection. Kindly do the needful. Thanks, Vignesh. On Wed, Sep 25, 2019 at 4:28 PM Andrew Bartlett <abartlet at samba.org> wrote: > On Wed, 2019-09-25 at 16:24 +0530, VigneshDhanraj G via samba wrote: > >

Hi This is Vignesh with Makro Technologies, Inc. We have been in business for over 10 years and we are one of the Fast 500 National IT staffing and Solution firms in USA. Our clients include country’s top-notch IT, Healthcare, Pharmaceutical, Financial, Telecom,Government and other industries. Staying current with technology, finding great consultants and exceeding our clients''

Are they the same with .RData being the newer format?? Thanks, ...Tao

Dear all, I have an R script that uses Rcpp, and I have been trying to parallelize it using mclapply (I tried with the multicore and the parallel library) Sometimes (not always, interestingly), the CPU use for each core drops, usually so that the total over all cores reaches 100%, i.e., as fast as if using just one single core fully. I tried my code directly from within emacs, and also using a

Hi, I'm trying to user lmer function from lmerTest package because, if I understood correectly, it allows to make better inference than lmer method from lme4 package. However, whatever I do I keep getting this error: Error in lme4::lFormula(formula = mark ~ ssCount + sTime+ : rank of X = 1660 < ncol(X) = 1895 any ideas what could be a problem? thanks, Srecko [[alternative HTML

Hi Team, After configured server signing as mandatory in smb.conf, file transfer speed has slow down. Almost 90% speed has reducing. Kindly do the needful. Please find the below configuration: [Global] available= yes restrict anonymous= 0 server string= Test Workgroup= GNANA netbios name= Test realm= GNANA.COM <http://VIGNESH.COM> password server= 192.168.1.14, * idmap backend= tdb idmap

Hello r-help, I've been banging my head against the computer in an attempt to learn how to divide my matrix into segments by rows. I want to be able to return each segment as a newly named object. I've tried looking at the apply functions and creating a for loop but brain no work. Here's the basic starting objects that I believe would be needed to separate the matrix. mat <-

Dear R users, I am running simulations (1000), and in my simulation I am looking at specific sums. For example, if the sum is >=4 then count this, if say <3, then don't count, if the sum=3, then generate a random number from uniform distribution, if this number is say less than 0.5, then count this sum, if greater than 0.5, then don't count. I am having trouble with introducing this