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Use this tag for any *on-topic* question that (a) involves `R` either as a critical part of the question or expected answer, & (b) is not *just* about how to use `R`.

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Concerning this topic there was quite recently a fantastic Coursera MOOC from Professor Eric Zivot from the University of Washington: Introduction to computational finance and Financial Econometrics …
answered Dec 6 '12 by vonjd
46
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5answers
Is there a possibility to use R in a webinterface without the need to install it? …
asked Apr 18 '11 by vonjd
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You can build a workaround by using nearPD from the Matrix package like so: nearPD(D)$mat. nearPD computes the nearest positive definite matrix.
answered Nov 15 '15 by vonjd
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Concerning your question: "Does higher value of correlation between two values indicate it is good predictor?" In general I would be very cautious because one of the most important facts in statistic …
answered Mar 16 '15 by vonjd
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You can use the content method in the bin function in the OneR package for that. It works on vectors and dataframes. library(OneR) set.seed(2) df <- data.frame(a = rnorm(900), b = rnorm(900)) df_bin …
answered Aug 13 '16 by vonjd
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There is a new R package which can do this: textir: Inverse Regression for Text Analysis The relevant command is tfidf, the example from the manual: data(we8there) ## 20 high-variance tf-idf terms colnames …
answered Sep 9 '14 by vonjd
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The command is mx.symbol.Convolution() For the package documentation see: http://mxnet-bing.readthedocs.io/en/latest/R-package/index.html For a complete example in context see this tutorial: http://mxnet-bing.readthedocs.io … /en/latest/R-package/mnistCompetition.html …
answered May 9 '16 by vonjd
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and basic book - but one that addresses your question thoroughly: Predictive Analytics For Dummies by Anasse Bari, Mohamed Chaouchi, Tommy Jung See especially Chapter 14: Predictive Modeling with R
answered Sep 14 '14 by vonjd
2
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0answers
approaches exist: either the target variable is discretized (binned) and intervals get predicted or there is only a limited number of values and the target becomes a categorical variable (a factor in R
asked May 7 '17 by vonjd
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I am not sure that I fully understand what you are looking for but this package could be it: rgp: R genetic programming framework The best starting point is to have a look at the vignette: A Friendly …
answered Dec 18 '14 by vonjd
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You can use the zoo package: http://cran.r-project.org/web/packages/zoo/index.html You are very, very flexible to do all kinds of things, including aggregation and rolling functions: http://cran.r-pr …
answered Sep 17 '13 by vonjd
1
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The RHmm-package has been deprecated. We use the depmixS4-package for our research and it is way better (although the learning curve is a little bit steeper due to the many options it has). You find …
answered Nov 14 '14 by vonjd
2
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With the OneR package (which basically builds a one level tree with the best predictor) you can have any number of levels in all input variables and in the output variable: https://cran.r-project.org …
answered May 14 '17 by vonjd
8
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2answers
These two methods for calculating the p-value should be equivalent: t.test(rats.drug,mu=1.2)$p.value 2*pt((mean(rats.drug)-1.2)*sqrt(n)/sd(rats.drug),df=n-1) The problem with the second method is t …
asked Jan 12 '15 by vonjd
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1answer
We know that a t-test is just a special case of ANOVA, so I tried to reproduce the result of the following t-test with aov() or anova(lm()) A <- c(56,65,69,78,72,82,81,87,89,81) B <- c(78,88,89,91,84 …
asked Aug 28 '14 by vonjd

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