similar to: Independent Variable Rankings with MARS

An interesting, and topical, example of multivariate data for classroom illustrations are the American college football rankings. Starting at the end of October (or "week 8", the 8th week of the football season) a set of rankings called the BCS (Bowl Championship Series) will be published. This is a composite ranking based on two subjective polls, the Harris and USA Today polls, and a

Your website''s ranking on search engines is a vital element of your overall marketing campaign, and there are ways to improve your link popularity through legitimate methods. Unfortunately, the Internet is populated by bands of dishonest webmasters seeking to improve their link popularity by faking out search engines. The good news is that search engines have figured this out, and are

Hello all, So I'm doing some data analysis using MARS. I have a matrix of 65 independent variables, from which I'm trying to predict 71 dependent variables. I have 900+ data points (so a 900x136 matrix of data), which I randomly split into training and validation sets, for ~450 data points in each set. Occasionally, this works well, and I get decent predictions. However, quite often

Dear colleagues, I am looking for a package to analyze rank-order data in the form of regression. My outcome (dependent) variable is a rank ordering in the sense that the respondents to a  questionnaire were asked a single question: to assign the values 1 to 4 to four different objects (e.g. to rank four cars as best , second best etc). Their first preference was number 1, their second was 

Q: When R does 'plot()' in a context that yields boxplots, is there a way to force it to draw something even if there are only 1 or two data in the category? I'd like for it to draw the data, perhaps using the outlier symbols. My code is (*** marks the line in question) is the following, for R-1.0.0: d <- read.table("nserc-results-pgsb", header=FALSE,

I'm dealing with classification problems, and I'm trying to specify a custom scoring metric (recall at p, ROC, etc.) that depends on not just the class output but the probability estimates, so that caret::train can choose the optimal tuning parameters based on this metric. However, when I supply a trainControl summaryFunction, the data given to it contains only class predictions, so the

Hello all useRs, I am tring make a simple surface plot ( 2 by 2 terms of a MARS model (with earth package) but I get the follow error message: > plotmo( mars ) Error: bad index (missing column in x?) I don't no how to workround this... :-( I thanks in advanced by some help! Thanks. Cleber ############### > > ### example code: > library( earth ) > data( gasoline,

Hi, I am using function mars() in package mda to find knots in a whole bunch of predictor variables. I hope to be able to replicate all or some of the basis functions that the MARS software from Salford Systems creates. When I ran mars() on a small dataset, I was able to get the knots. However, when I tried running mars() on a larger dataset (145 predictor variables), for a different

I'm trying to use mars{mda} to model functions that look fairly close to a sequence of straight line segments. Unfortunately, 'mars' seems to totally miss the obvious places for the knots in the apparent first order spline model, and I wonder if someone can suggest a better way to do this. The following example consists of a slight downward trend followed by a jump up after

Hey Everyone, Im fresh new in R, and Im supposed to write a code to give me a correlation between two rankings. So I have two ranking lists, which contain file names, e.g.: Ranking list 1: file1.java file3.java file2.java Ranking list 2: fiile2.java file4.java file1.java I need to see how much are these two ranking lists are alike, get a correlation between them. I dont even know where to

Hi! I have some questions about MARS model's coefficient of determination. I use the MARS method in my master's thesis and I have noticed some problems with the MARS model's R^2. You can see the following example that the MARS model's R^2 is too big when i have used mars() -function for MARS model building, and when I have made MARS-model using a linear regression, it

Hey Everyone, Im fresh new in R, and Im supposed to write a code to give me a correlation between two rankings. So I have two ranking lists, which contain file names, e.g.: Ranking list 1: file1.java file3.java file2.java Ranking list 2: fiile2.java file4.java file1.java I need to see how much are these two ranking lists are alike, get a correlation between them. I dont even know where to

Dear R listers, Just a simple question. If we say an nxm matrix (n>m) is full rank of m, does this mean that this matrix has linearly independent columns? They are the same definition or needs some proof? Thanks for your answer. Fred [[alternative HTML version deleted]]

I am working on rpart, mars and earth. they all work fine individually. but i want to use node information generated by rpart in earth or mars. (mars is sensitive to outliers. CART deals effectively with outliers.) is there any way to perform this? Thanks. [[alternative HTML version deleted]]

Hi all, I am using ACS micro data (PUMS) with one of the columns as a factor for the place of birth (POBPF). I would like to create a column (POBR) containing a rank corresponding to the place of the observation in the POBPF rankings. For example, if a person is from Oregon, Oregon is the most popular Place of Birth, so each person who came from Oregon should have a 1 in their POBR.

Hi, I'm trying to use mars function in R to interpolate nonlinear multivariate functions. However, it seems that mars gives me a fit which uses only very few basis function and it underfits very badly. For example, I have tried the following code to test mars: require("mda") f <- function(x,y) { x^2-y^2 }; #f <- function(x,y) { x+2*y }; # Grid x <-

Hello forum, I am interested in investigating non-linear relationships between variables using something akin to Multivariate Adaptive Regression Splines. The problem is that my data have sample weights and stratification variables, and I don't think earth and similar packages support these. Any suggestions? It doesn't have to be MARS per se, just something to estimate non-linear

I have reached the correlation section in a course that I teach and I hit upon the idea of using data from the weekly Bowl Championship Series (BCS) rankings to illustrate different techniques for assessing correlation. For those not familiar with college football in the United States (where "football" refers to American football, not what is called soccer here and football in most

Hi, is there an R function which can compute the R-squared for a mars model fitted using the mda package? many thanks in advance best regards Marco Girardello

Is there a function for MARS (Modeling with Automated Regression Tools) available for R PC window users ? I know there is a commercial package from Salford systems and there is a shared function for Unix system. Nancy Lo -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send