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Generalised Linear Models in R. Linear models are the bread and butter of statistics, but there is a lot more to it than taking a ruler and drawing a line through a couple of points. Some time ago Rasmus Bååth. Published an insightful blog article. About how such models could be described from a distribution centric point of view, instead of the classic error terms convention. I think the distribution centric view makes generalised linear models. Here is the example data. I would like to create a model t...

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Generalised Linear Models in R. Linear models are the bread and butter of statistics, but there is a lot more to it than taking a ruler and drawing a line through a couple of points. Some time ago Rasmus Bååth. Published an insightful blog article. About how such models could be described from a distribution centric point of view, instead of the classic error terms convention. I think the distribution centric view makes generalised linear models. Here is the example data. I would like to create a model t...

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mages' blog | magesblog.com Reviews

https://magesblog.com

Generalised Linear Models in R. Linear models are the bread and butter of statistics, but there is a lot more to it than taking a ruler and drawing a line through a couple of points. Some time ago Rasmus Bååth. Published an insightful blog article. About how such models could be described from a distribution centric point of view, instead of the classic error terms convention. I think the distribution centric view makes generalised linear models. Here is the example data. I would like to create a model t...

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magesblog.com

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Transforming subsets of data in R with by, ddply and data.table

http://www.magesblog.com/2012/06/transforming-subsets-of-data-in-r-with.html

Transforming subsets of data in R with by, ddply and data.table. 12 Jun 2012 03:55. Transforming data sets with R is usually the starting point of my data analysis work. Here is a scenario which comes up from time to time: transform subsets of a data frame, based on context given in one or a combination of columns. As an example I use a data set which shows sales figures by product for a number of years:. There are lots of ways of doing this transformation in R. Here are three approaches using:. I will s...

2

ChainLadder 0.2.1 released

http://www.magesblog.com/2015/07/chainladder-021-released.html

ChainLadder 0.2.1 released. 14 Jul 2015 07:05. Over the weekend we released version 0.2.1 of the ChainLadder. Package for claims reserving on CRAN. Based on the 2010 Merz and Wüthrich paper Paid-incurred chain claims reserving method. Allowing users to specify which sub-plot to display. Thanks to Christophe Dutang. Plot(MackChainLadder(MW2014, est.sigma="Mack"), which=3:6). File to comply with new R CMD checks in R-3.3.0. Removed package dependencies on. Using the following R commands:. Occasionally Id l...

3

Changing colours and legends in lattice plots

http://www.magesblog.com/2012/12/changing-colours-and-legends-in-lattice.html

Changing colours and legends in lattice plots. 4 Dec 2012 07:22. Plots are a great way of displaying multivariate data in R. Deepayan Sarkar, the author of lattice, has written a fantastic book about Multivariate Data Visualization with R. However, I often have to refer back to the help pages to remind myself how to set and change the legend and how to ensure that the legend will use the same colours as my plot. Thus, I thought I write down an example for future reference. Data set of the MASS package.

4

Generalised Linear Models in R

http://www.magesblog.com/2015/08/generalised-linear-models-in-r.html

Generalised Linear Models in R. 4 Aug 2015 07:44. Linear models are the bread and butter of statistics, but there is a lot more to it than taking a ruler and drawing a line through a couple of points. Some time ago Rasmus Bååth. Published an insightful blog article. About how such models could be described from a distribution centric point of view, instead of the classic error terms convention. I think the distribution centric view makes generalised linear models. Here is the example data. I would like t...

5

MacBook Air battery replacement

http://www.magesblog.com/2015/07/macbook-air-battery-replacement.html

MacBook Air battery replacement. 21 Jul 2015 07:55. After four years of daily use our MacBook Air informed us that it needed a battery replacement. That's kind of nice to know, in particular as it still feels speedy and otherwise just works. A new battery isn't that expensive and according to iFixit. It appeared to be quite easy to replace it. I needn't to worry, it was actually super simple, given appropriate tools:. Remove 10 screws from bottom case. Remove 5 screws from battery. 23 July 2015 at 16:27.

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opiateforthemass.es

German Temperature Data – Opiate for the masses

http://opiateforthemass.es/articles/dwd-daten

Opiate for the masses Data is our religion. May 12, 2016. 14 min. read. Today is a good day. I recently had an discussion if this year’s March was warmer than the average. Generally speaking, with global average temperatures steadily increasing since the 1970s. I think it’s safe to say that for a given random month, you’re better off stating that it was warmer than the average compared to colder. Which is exactly what I did. Turns out, I was wrong But I learnt how to change the colour of a. Check max len...

opiateforthemass.es

Emoticons decoder for social media sentiment analysis in R – Opiate for the masses

http://opiateforthemass.es/articles/emoticons-in-R

Opiate for the masses Data is our religion. Bull; Social Media. Emoticons decoder for social media sentiment analysis in R. October 16, 2015. Today is a good day. The meaning of Emoticons and why you should analyze them. As mentioned earlier, R seems to be totally capable of properly displaying some emoticons, while it fails displayng others. Try inputing. Heavy black heart) to the console and this is how the output will look like:. Just as expected. So far, so good. Now try inputing this. XF0 x9F x98 x8A.

opiateforthemass.es

James Bond movies – Opiate for the masses

http://opiateforthemass.es/articles/james-bond-film-ratings

Opiate for the masses Data is our religion. Bull; James Bond. November 14, 2015. 13 min. read. Today is a good day. James Bond: Do you expect me to talk? Auric Goldfinger: No, Mr. Bond, I expect you to die! I’m a big James Bond fan, so naturally I went to watch the new Bond movie. Is pretty bad. It also got me to reminice about the good Bond films of the past. My personal candidate for worst Bond film is. But what does the objective opinion say on this hotly debated topic? They updated the data. I decide...

opiateforthemass.es

Our R package roundup – Opiate for the masses

http://opiateforthemass.es/articles/R-packages-in-2015

Opiate for the masses Data is our religion. Our R package roundup. December 30, 2015. Today is a good day. A year in review. T’s the time of the year again where one eats too much, and gets in a reflective mood! 2015 is nearly over, and us bloggers here at opiateforthemass.es thought it would be nice to argue endlessly which R package was the best/neatest/most fun/most useful/most whatever in this year! But do not despair, dear reader! Top Popular CRAN packages. And parse the CRAN downloads per day using.

opiateforthemass.es

Set up Sublime Text for light-weight all-in-one data science IDE – Opiate for the masses

http://opiateforthemass.es/articles/set-up-sublime-text-for-light-weight-all-in-one-data-science-ide

Opiate for the masses Data is our religion. Bull; Sublime Text. Set up Sublime Text for light-weight all-in-one data science IDE. December 23, 2015. Today is a good day. Sublime Text is a powerful text editor. Here I introduce how to add custom REPL config for remote/local R, Python, Scala, Spark, Hive, you name it (this is only tested for OS X). The example below interprets local Python (top), R (middle) and Hive (bottom) code on remote. The above gif setup is heavily based on the following two packages.

trinostics.blogspot.com

triKnowBits: AIM Matters

http://trinostics.blogspot.com/2014/10/aim-matters.html

Random topics of potential interest to actuaries. Oct 6, 2014. Props to my college roommate, Brian Conrey, who this summer celebrated the 20 year anniversary of the American Institute of Mathematics ( AIM. Recently highlighted AIM's partnership with Driscoll's. Watsonville CA) and other berry growers that modeled various water and land management techniques for balancing aquifer levels ( "Strawberry fields forever - with some help from mathematicians! This week the Frys.com Open. Grab my feed url.

trinostics.blogspot.com

triKnowBits: IBNR with the Chain-Ladder Method using the R ChainLadder package

http://trinostics.blogspot.com/2013/06/ibnr-with-chain-ladder-method-using-r.html

Random topics of potential interest to actuaries. Jun 12, 2013. IBNR with the Chain-Ladder Method using the R ChainLadder package. Is a package for the R. With the Chain-Ladder Method using the ChainLadder package. In simplest terms, the Chain-Ladder Method estimates ultimate loss as the product ("the development") of loss known to date (referred to here as "reported loss") and a loss development factor (LDF):. EstimatedUltimateLoss = ReportedLoss * LDF (1). IBNR = EstimatedUltimateLoss - ReportedLoss.

trinostics.blogspot.com

triKnowBits: August 2013

http://trinostics.blogspot.com/2013_08_01_archive.html

Random topics of potential interest to actuaries. Aug 28, 2013. IBNR with the Bornhuetter-Ferguson Method using the R ChainLadder package. This is the third of a trilogy of posts demonstrating how to implement three basic deterministic Property&Casualty/General/Non-Life insurance actuarial techniques using the ChainLadder. In simplest form, the Bornhuetter-Ferguson (BF) Method. 160;estimates IBNR for an accident/policy/underwriting/origin year (tranch of exposure) as the product of an a-priori.

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Generalised Linear Models in R. Linear models are the bread and butter of statistics, but there is a lot more to it than taking a ruler and drawing a line through a couple of points. Some time ago Rasmus Bååth. Published an insightful blog article. About how such models could be described from a distribution centric point of view, instead of the classic error terms convention. I think the distribution centric view makes generalised linear models. Here is the example data. I would like to create a model t...

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