search for: predictivity

Displaying 20 results from an estimated 8000 matches for "predictivity".

2007 Mar 16
3
Unhidden predict methods
Hi, I've noted that not all `predict' methods are hidden in the namespace: > methods("predict") [1] predict.ar* predict.Arima* [3] predict.arima0* predict.glm [5] predict.HoltWinters* predict.lm [7] predict.loess* predict.mlm [9] predict.nls* predict.poly [11] predict.ppr* predict.prcomp* [13]
2012 Apr 17
1
Test-Predict R survival analysis
Hi, I'm trying to use the R Survival analysis on a windows 7 system. The input data format is described at the end of this mail. 1/ I tried to perform a survival analysis including stratified variables using the following formula. cox.xtab_miR=coxph(Surv(time, status) ~ miR + strata(sex,nbligne, age), data=matrix) and obtain the following error message Warning message: In fitter(X, Y,
2006 Jan 11
5
Noob - Associated Tables Find Query
I''m trying to write a football prediction game. I have a Matches table and a Predictions table. Each Match :has_many Predictions, and each Prediction :belongs_to a Match Each Match has (amongst other things) a Match.match_date field. Each Prediction has (amongst other things) a User_id field I''m trying to get a list of all Predictions a particular User has made which
2010 Mar 01
1
the predict.lda function
Hello. I just downloaded R onto a new computer, and after entering library(MASS), I still get the message "Error: could not find function "predict.lda"" when I try to use the predict.lda function (even just "predict.lda()") Can anyone help me out? Thank you! Diana Connett
2003 Jul 03
1
S4 method and S3 method with same name: potentially dangerous?
Dear list, yet another question on S4 method behaviour or rather its side effects: Consider the following example (see below) where a new S4 method 'predict' is defined which by doing so makes 'predict' a S4 standardGeneric. It works and simple test examples run but I'm cautious whether this is a 'silly' thing to do. Is this a dangerous thing to do, already known to
2008 Apr 03
2
What to do with this data?
Hello, This is not necessarily a question about R, but more about how we should display our data in general. (Will we then use R to do that, once we know what to do ;-) I received good replies about such things in the past on this mailing list so I give it a go. Here's what we did: We showed a fairly large number of subjects search engine queries and different possible search engine
2009 Mar 08
1
Predictive Analytics Seminar: San Jose, NYC, Toronto, more
Hi all, I wanted to let you know about our training seminar on predictive analytics - coming April, May, Oct, and Nov in San Jose, NYC, Stockholm, Toronto and other cities. This is intensive training for marketers, managers and business professionals to make actionable sense of customer data by predicting buying behavior, churn, etc. Past attendees provided rave reviews. Here's more info:
2004 Jul 01
2
R can't find some functions in assist package
Oh yes. The "load package" under the "packages menu" in the Windows version does that. To check I typed "library(assist)" after starting R. Same behavior, ssr is found, but others like predict.ssr, and plot.ssr, give a "not found" message. Thanks for the suggestion. Mike
2004 Oct 13
2
debugging non-visible functions
Hi, I would like to step-through a non-visible function. but apparently I don't know enough about namespaces to get that to work: > methods(predict) ... deleted lines ... [27] predict.rpart* predict.smooth.spline* [31] predict.survreg.penal* Non-visible functions are asterisked > debug(predict.rpart) Error: Object "predict.rpart" not found >
2009 Sep 13
2
How can I get "predict.lm" results with manual calculations ? (a floating point problem)
Hello dear r-help group I am turning for you for help with FAQ number 7.31: "Why doesn't R think these numbers are equal?" http://cran.r-project.org/doc/FAQ/R-FAQ.html#Why-doesn_0027t-R-think-these-numbers-are-equal_003f *My story* is this: I wish to run many lm predictions and need to have them run fast. Using predict.lm is relatively slow, so I tried having it run faster by
2010 Sep 06
1
Prediction and confidence intervals from predict.drc
R-helpers, I am using the package "drc" to fit a 4 parameter logistic model. When I use the predict function to get prediction on a new dataset, I am not getting the requested confidence or prediction intervals. Any idea what is going on? Here is code to reproduce the problem: --- library(drc) # Fit model to existing dataset in package spinach.model <- drm(SLOPE~DOSE, data =
2007 May 06
3
Neural Nets (nnet) - evaluating success rate of predictions
Hello R-Users, I have been using (nnet) by Ripley to train a neural net on a test dataset, I have obtained predictions for a validtion dataset using: PP<-predict(nnetobject,validationdata) Using PP I can find the -2 log likelihood for the validation datset. However what I really want to know is how well my nueral net is doing at classifying my binary output variable. I am new to R and I
2010 Jul 21
2
Variance of the prediction in the linear regression model (Theory and programming)
Hi, folks, Here are the codes: ############## y=1:10 x=c(1:9,1) lin=lm(log(y)~x) ### log(y) is following Normal distribution x=5:14 prediction=predict(lin,newdata=x) ##prediction=predict(lin) ############### 1. The codes do not work, and give the error message: Error in eval(predvars, data, env) : numeric 'envir' arg not of length one. But if I use the code after the pound sign, it
2013 Jan 30
2
How does predict() calculate prediction intervals?
For a given linear regression, I wish to find the 2-tailed t-dist probability that Y-hat <= newly observed values. I generate prediction intervals in predict() for plotting, but when I calculate my t-dist probabilities, they don't agree. I have researched the issues with variance of individual predictions and been advised to use the variance formula below (in the code). I presume my
2007 Oct 15
2
some question about partial prediction in survival
Hi there: i got a problem to get the prediction from a model recently. for example if i use a survival analysis to predict the risk. i use the code like below: i found the the prediction is not equal to (coef * x + coef * sex) , could someone help me with why this happened? and can someone explain to me how this command "predict(f, type="terms")" works? is every partial
2008 Jul 03
3
problem with lm and predict - no predictions made
Hi I have a problem with lm and predict I have us [1] 2789.53 3128.43 3255.03 3536.68 3933.18 4220.25 4462.83 4739.48 [9] 5103.75 5484.35 5803.08 5995.93 6337.75 6657.40 7072.23 7397.65 [17] 7816.83 8304.33 8746.98 9268.43 9816.98 10127.95 10469.60 10960.75 [25] 11685.93 12433.93 13194.70 13843.83 us.p [1] 227.62 229.92 232.13 234.25 236.31 238.42 240.59 242.75 244.97
2012 Nov 20
3
data after write() is off by 1 ?
I am new to R, so I am sure I am making a simple mistake. I am including complete information in hopes someone can help me. Basically my data in R looks good, I write it to a file, and every value is off by 1. Here is my flow: > str(prediction) Factor w/ 10 levels "0","1","2","3",..: 3 1 10 10 4 8 1 4 1 4 ... - attr(*, "names")= chr
2010 Jan 16
2
predict.glm
Hi, See below I reply your message for <https://stat.ethz.ch/pipermail/r-help/2008-April/160966.html>[R] predict.glm & newdata posted on Fri Apr 4 21:02:24 CEST 2008 You say it ##works fine but it does not: if you look at the length of yhat2, you will find 100 and not 200 as expected. In fact predict(reg1, data=x2) gives the same results as predict(reg1). So I am still looking for
2010 Sep 21
1
package gbm, predict.gbm with offset
Dear all, the help file for predict.gbm states that "The predictions from gbm do not include the offset term. The user may add the value of the offset to the predicted value if desired." I am just not sure how exactly, especially for a Poisson model, where I believe the offset is multiplicative ? For example: library(MASS) fit1 <- glm(Claims ~ District + Group + Age +
2006 Oct 29
1
Unexpected behavior of predict and interval="confidence"
Based on some recent r-help discussions, I have been trying out plotting confidence intervals using predict and matplot. Matplot appeared to not be plotting the linear regression when using the default column names generated by read.table (V1, V2, etc). On further inspection, the error seemed to be with predict and vector names (V1, V2) rather than with matplot. I was using some textbook