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Rmazing | Things related to the R statistical language (by A.N. Spiess)Things related to the R statistical language (by A.N. Spiess)
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Things related to the R statistical language (by A.N. Spiess)
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Rmazing | Things related to the R statistical language (by A.N. Spiess) | rmazing.wordpress.com Reviews
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Things related to the R statistical language (by A.N. Spiess)
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predictNLS (Part 2, Taylor approximation): confidence intervals for ‘nls’ models | Rmazing
https://rmazing.wordpress.com/2013/08/26/predictnls-part-2-taylor-approximation-confidence-intervals-for-nls-models
Things related to the R statistical language (by A.N. Spiess). PredictNLS (Part 2, Taylor approximation): confidence intervals for ‘nls’ models. Initial Remark: Reload this page if formulas don’t display well! As promised, here is the second part on how to obtain confidence intervals for fitted values obtained from nonlinear regression via. Package ‘minpack.lm’). But here we will take a different approach: First- and second-order Taylor approximation around. Has been discussed in http:/ thebiobucket....
Error propagation based on interval arithmetics | Rmazing
https://rmazing.wordpress.com/2014/09/27/error-propagation-based-on-interval-arithmetics
Things related to the R statistical language (by A.N. Spiess). Error propagation based on interval arithmetics. Function to my ‘propagate’ package (now on CRAN. That conducts error propagation based on interval arithmetics. It calculates the uncertainty of a model by using interval arithmetics based on (what I call) a “combinatorial sequence grid evaluation” approach, thereby avoiding the classical. That often inflates the result interval. This is how it works:. The four basic arithmetic operations.
Introducing ‘propagate’ | Rmazing
https://rmazing.wordpress.com/2013/08/31/introducing-propagate
Things related to the R statistical language (by A.N. Spiess). Introducing ‘propagate’. With this post, I want to introduce the new ‘propagate’ package on CRAN. It has one single purpose: propagation of uncertainties (“error propagation”). There is already one package on CRAN available for this task, named ‘metRology’ ( http:/ cran.r-project.org/web/packages/metRology/index.html. 8216;propagate’ has some additional functionality that some may find useful. The most important functions are:. Graphing error...
I’ll take my NLS with weights, please… | Rmazing
https://rmazing.wordpress.com/2014/01/13/ill-take-my-nls-with-weights-please
Things related to the R statistical language (by A.N. Spiess). I’ll take my NLS with weights, please…. Today I want to advocate weighted nonlinear regression. Why so? Minimum-variance estimation of the adjustable parameters in linear and non-linear least squares requires that the data be weighted inversely as their variances. An important fact frequently neglected, especially in scenarios with heteroscedasticity. The variance of a fit. Is also characterized by the statistic. And the observed values of.
Linear regression with random error giving EXACT predefined parameter estimates | Rmazing
https://rmazing.wordpress.com/2016/01/26/linear-regression-with-random-error-giving-exact-predefined-parameter-estimates
Things related to the R statistical language (by A.N. Spiess). Linear regression with random error giving EXACT predefined parameter estimates. When simulating linear models based on some defined slope/intercept and added gaussian noise, the parameter estimates vary after least-squares fitting. Here is some code I developed that does a double transform of these models as to obtain a fitted model with EXACT defined parameter estimates. It does so by:. 1) Fitting a linear model #1. Below is the code:.
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Can We do Better than R-squared? | Tom Hopper
https://tomhopper.me/2014/05/16/can-we-do-better-than-r-squared
Competitive organizations through high-performance learning. Can We do Better than R-squared? If you're anything like me, you've used Excel to plot data, then used the built-in “add fitted line” feature to overlay a fitted line to show the trend, and displayed the “goodness of fit,” the r-squared (. Value, on the chart by checking the provided box in the chart dialog. Calculated in Excel is often used as a measure of how well a model explains a response variable, so that “. Some data to work with. In a w...
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Rmazing | Things related to the R statistical language (by A.N. Spiess)
Things related to the R statistical language (by A.N. Spiess). Linear regression with random error giving EXACT predefined parameter estimates. January 26, 2016. When simulating linear models based on some defined slope/intercept and added gaussian noise, the parameter estimates vary after least-squares fitting. Here is some code I developed that does a double transform of these models as to obtain a fitted model with EXACT defined parameter estimates. It does so by:. 1) Fitting a linear model #1. Here a...
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