search for: i05

Hi all, hope someone can help me out with this. Background Introduction I have a data set consisting of data collected from a questionnaire that I wish to validate. I have chosen to use confirmatory factor analysis to analyse this data set. Instrument The instrument consists of 11 subscales. There is a total of 68 items in the 11 subscales. Each item is scored on an integer scale between 1 to 4.

The "tscount" package (see http://doi.org/10.18637/jss.v082.i05) comes with several count data time series. Maybe this is the kind of discrete data you were interested in? hth, Z On Tue, 2 Jan 2018, Eric Berger wrote: > Hi Rolf, > I looked at > https://docs.microsoft.com/en-us/azure/sql-database/sql-database-public-data-sets > > One of the f...

The following code is derived from a paper titled "Text Mining Infrastructure in R" (http://www.jstatsoft.org/v25/i05/paper). The example below seems to load some default documents for analysis, some sort of latin document. I cannot for the life of me figure out to load my own document let alone an entire corpus. I have searched the above documenet as well as related documentation. Any leads or help would be a...

Dear everyone, I am new to R, and I am looking at doing text classification on a huge collection of documents (>500,000) which are distributed among 300 classes (so basically, this is my training data). Would someone please be kind enough to let me know about the R packages to use and their scalability (time and space)? I am very new to R and do not know of the right packages to use. I

...importance and visualize the results. There are also various modeling and "helper" functions that can be useful for training models. caret has wrappers to over 50 different models for classification and regression. See the package vignettes or the paper at http://www.jstatsoft.org/v28/i05 for more details. Significant internal changes were made to how the models are fit in train(). Now, the function used to compute the models is passed in as a parameter (defaulting to lapply). In this way, users can use their own parallel processing software without new versions of caret. Examples...

...importance and visualize the results. There are also various modeling and "helper" functions that can be useful for training models. caret has wrappers to over 75 different models for classification and regression. See the package vignettes or the paper at http://www.jstatsoft.org/v28/i05 for more details. I'll also be giving a talk at this year's useR! conference. Since the last posting to this list: - 23 additional models were added to train() - weights can be passed in through train() - feature selection methods have been added: recursive feature elimination (...

...he results. There are also various modeling and "helper" functions that can be useful for training models. caret has wrappers to over 99 different models for classification and regression. See the package vignettes or: http://user2010.org/slides/Kuhn.pdf http://www.jstatsoft.org/v28/i05 for more details. Since the last posting to the list: - wrappers for a number of new models were added, notably gam models (from both the gam and mgcv packages) and logic trees - when resampling with train(), class probabilities can now be used to calculate performance (such as the AU...

I have a complicated nonlinear function, myfun(a,b,c), that I want to fit to data, allowing one or more of the parameters a, b, and c in turn to have linear dependence on other covariates. In other words, I'd like to specify something like nls(y~myfun(a,b,c),linear=list(a~f1,b~1,c~1)) I know would this work in nlme *if I wanted to specify random effects as well*, but I don't -- and

Hi, Can u please tell me which all packages do i need to install to estimate the hurst parameter in R. I have tried installing all the possible options but still it doesnt work. basically i want to use 9 functions to estimate hurst parameter like aggvarfit, rsfit, etc. i will be very thankful if u could be of some help. -- Regards, Deepak Jadhav. [[alternative HTML version

Hi   I want to do leave-one-out cross-validation for multinomial logistic regression in R. I did multinomial logistic reg. by package nnet in R. How I do validation? by which function? response variable has 7 levels   please help me   Thanks alot Azam [[alternative HTML version deleted]]

...importance and visualize the results. There are also various modeling and "helper" functions that can be useful for training models. caret has wrappers to over 50 different models for classification and regression. See the package vignettes or the paper at http://www.jstatsoft.org/v28/i05 for more details. Significant internal changes were made to how the models are fit in train(). Now, the function used to compute the models is passed in as a parameter (defaulting to lapply). In this way, users can use their own parallel processing software without new versions of caret. Examples...

Dear R user, I am looking for a code on double cross validation in LASSO , one for optimizing the parameter and other one is for MSEP. If any one have it, please foroward to me. I am using different package like LARS, chemometric etc. Thanks in advance Alex [[alternative HTML version deleted]]

Hi, Users, I am a new user. I am trying to partition data into training and test. Is there any R package or function that can partition dataset? Also, is there any package do crossvalidation? Any help will be appreciated. Best, Pat [[alternative HTML version deleted]]

...importance and visualize the results. There are also various modeling and "helper" functions that can be useful for training models. caret has wrappers to over 75 different models for classification and regression. See the package vignettes or the paper at http://www.jstatsoft.org/v28/i05 for more details. I'll also be giving a talk at this year's useR! conference. Since the last posting to this list: - 23 additional models were added to train() - weights can be passed in through train() - feature selection methods have been added: recursive feature elimination (...

...he results. There are also various modeling and "helper" functions that can be useful for training models. caret has wrappers to over 99 different models for classification and regression. See the package vignettes or: http://user2010.org/slides/Kuhn.pdf http://www.jstatsoft.org/v28/i05 for more details. Since the last posting to the list: - wrappers for a number of new models were added, notably gam models (from both the gam and mgcv packages) and logic trees - when resampling with train(), class probabilities can now be used to calculate performance (such as the AU...

...rking in a plot based on figure 5.6 of the Lattice book (http://lmdvr.r-forge.r-project.org/figures/figures.html). I have already modified it to include the size of the circles as another variable, but I would like to modify the legend to show it (like they do it in http://www.jstatsoft.org/v15/i05/paper). I have divided my variable in intervals: DATA$s_Shape_2 <- cut(x=DATA$Shape_inde,breaks=c(0.9999999,1.2,1.4,1.7,2.1,5)) I will use the index of the categories as the radius of the circles. Now, following the aforementioned figure 5.6, I have the following code: NDVI.breaks <- do...

Hi , I have built decision tree using rpart . I want to do k Fold validation on the decision tree . Could you help how can i do that .. please tell the package which required for K fold validation. Regards, Santosh -- View this message in context: http://r.789695.n4.nabble.com/Need-Help-in-K-fold-validation-in-Decision-tree-tp4630730.html Sent from the R help mailing list archive at

Generic question... I am familiar with generic power calculations in R, however a lot of the data I primarily work with is multivariate. Is there any package/function that you would recommend to conduct such power analysis? Any recommendations would be appreciated. Thank you for your time, Charles [[alternative HTML version deleted]]

...ear R users, An updated version of the np package has recently been uploaded to CRAN (version 0.20-0). Version 0.20-0 is documented in Tristen Hayfield and Jeffrey S. Racine (2008). Nonparametric Econometrics: The np Package. Journal of Statistical Software 27(5). URL http://www.jstatsoft.org/v27/i05/ and also in a vignette (vignette("np",package="np")). There is also a FAQ located in the package browse directory (np_faq.pdf, also available at http://socserv.mcmaster.ca/racine/np_faq.pdf). A much more thorough treatment of the subject matter can be found in Li, Q. and J. S...

...ear R users, An updated version of the np package has recently been uploaded to CRAN (version 0.20-0). Version 0.20-0 is documented in Tristen Hayfield and Jeffrey S. Racine (2008). Nonparametric Econometrics: The np Package. Journal of Statistical Software 27(5). URL http://www.jstatsoft.org/v27/i05/ and also in a vignette (vignette("np",package="np")). There is also a FAQ located in the package browse directory (np_faq.pdf, also available at http://socserv.mcmaster.ca/racine/np_faq.pdf). A much more thorough treatment of the subject matter can be found in Li, Q. and J. S...