1695 search results for "time series"

Animating neural networks from the nnet package

March 19, 2013
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Animating neural networks from the nnet package

My research has allowed me to implement techniques for visualizing multivariate models in R and I wanted to share some additional techniques I’ve developed, in addition to my previous post. For example, I think a primary obstacle towards developing a useful neural network model is an under-appreciation of the effects model parameters have on model

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Baseball Statistics with R – Batting Average

March 18, 2013
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Baseball Statistics with R – Batting Average

I'm working on a new book about the R programming language. R is a language that is designed for use with statistics and data. I use it to analyze sports and social networking. I thought that it would be fun to write the book focusing on baseball statistics using data from Major League Baseball. This post...

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Variability of garch predictions

March 17, 2013
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Variability of garch predictions

How variable are garch predictions? Previously There have been several posts on garch, in particular: A practical introduction to garch modeling The components garch model in the rugarch package Both of these posts speak about the two common prediction targets: prediction (of volatility) at the individual times (usually days) term structure prediction — the average … Continue reading...

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Ordinal Data

March 17, 2013
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Ordinal Data

I expect to be getting some ordinal data, from 5 or 9 point rating scales, pretty soon, so I am having a look ahead how to treat those. Often ANOVA is used, even though it is well known not to be ideal fro a statistical point of view, so that is the st...

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How do I make my graphs?

March 15, 2013
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How do I make my graphs?

Someone who wishes to remain anonymous writes: I’ve been following your blog a long time and enjoy your posts on visualization/statistical graphics matters. I don’t recall however you ever describing the details of your setup for plotting. I’m a new R user (convert from matplotlib) and would love to know your thoughts on the ideal The post How...

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Calender Heatmap with Google Analytics Data

March 15, 2013
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Calender Heatmap with Google Analytics Data

As data analytics consulting firm, we think we are fortunate that we keep finding problems to find. Recently my team mate found a glaring problem of not having any connector for R with Google. With the inspiration from Michael, Ajay O, it soon become a worth problem to solve. With RGoogleAnalytics package now, we have

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Calender Heatmap with Google Analytics Data

March 15, 2013
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Calender Heatmap with Google Analytics Data

As data analytics consulting firm, we think we are fortunate that we keep finding problems to find. Recently my team mate found a glaring problem of not having any connector for R with Google. With the inspiration from Michael, Ajay O, it soon become a worth problem to solve. With RGoogleAnalytics package now, we have

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On ENAR, or Statistical Meetings in General

March 14, 2013
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Last year I accepted an invitation from Ben to go to ENAR 2013 -- my first ENAR. I used to go to JSM and useR!, and apparently I enjoy useR! most. The reason is not, or not only, because I'm more of a technical person. It is just hard to concentrate at large statistical conferences. I want...

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Lipsyncing for your life: a survival analysis of RuPaul’s Drag Race

March 11, 2013
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Lipsyncing for your life: a survival analysis of RuPaul’s Drag Race

If you follow me on Twitter, you know that I’m a big fan of RuPaul’s Drag Race. The transformation, the glamour, the sheer eleganza extravanga is something my life needs to interrupt the monotony of grad school. I was able to catch up on nearly four seasons in a little less than a month, and I’ve been watching the… Continue reading →

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Discovering Argon with the 2-Sample t-Test

Discovering Argon with the 2-Sample t-Test

I learned about Lord Rayleigh’s discovery of argon in my 2nd-year analytical chemistry class while reading “Quantitative Chemical Analysis” by Daniel Harris.  (William Ramsay was also responsible for this discovery.)  This is one of my favourite stories in chemistry; it illustrates how diligence in measurement can lead to an elegant and surprising discovery.  I find

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