On New Perspectives for Statistical Computing in Business and Industry – A Solution with STATISTICA and RSTATISTICADCOM ServerVisual BasicGARCH modelsCompanies in business and industry often make very different demands on statistical software packages, like flexibility concerning customized solutions, ...
R (The R project for statistical computing) and Filemaker provide a compelling solution for the common problems involved in medical research, namely data entry, reporting and analysis. However, there are pecularities in this combination, particularly when running on Mac OS X and trying to use OD...
12.4 Solution for the least-squares criterion - 12.5 Libraries - 12.6 Illustrating linear regression with simulated data - 12.7 Specifying Regression Models in R - 12.7.1 Fitted values - 12.7.2 Getting the model coefficients - - 12.8 Residuals - 12.9 Regression as sum-of-squares decomposition -...
and fifth strings in the argument x. Redefine titles.start by repeating the logic in your solution to Q5d, but replacing the which() command in the body of your for() loop with an appropriate call to grep(). Also, redefine titles.end by repeating the logic in your solution to Q5e. ...
In R’s case, that’s statistical computing and analysis. By extension, R is commonly used for all manner of data science tasks. R is equipped with a large set of functions that enable data visualizations, so users can analyze data, model it as required, and then create graphics. In add...
& Li, R. Computing nearly singular solutions using pseudo-spectral methods. J. Comput. Phys. 226, 379 (2007). Article ADS MathSciNet MATH Google Scholar Kida, S. & Goto, S. Line statistics: Stretching rate of passive lines in turbulence. Phys. Fluids 14, 352 (2002). Article ADS ...
Computing with infinite networks. In Proc. 9th International Conference on Neural Information Processing Systems (eds Jordan, M. I. & Petsche, T.) 295–301 (MIT Press, 1996). de G. Matthews, A. G., Hron, J., Rowland, M., Turner, R. E. & Ghahramani, Z. Gaussian process behaviour...
Although I am not aware of any R package implementing the decision tree with the monotonic constraint, I did manage to find a solution based upon the decision tree. The Rborist package is an implementation of the Random Forest that would enforce the monotonicity at the local level within each...
Natural computing for mechanical systems research: A tutorial overview Mechanical Systems and Signal Processing Journal2011, Mechanical Systems and Signal Processing Keith Worden, ... James J. Hensman 6 Statistical learning theory and kernel methods 6.1 Structural risk minimisation The material of this ...
Inbuilt function used in R statistical computing program was rpart to produce classification trees as part of CART analysis. 2.3.4 Random Forest Random forest fits many classification trees to a data set and then combines the predictions from all the trees (Fig. 7). The algorithm begins with ...