2042 search results for "regression"

Software Signals

January 7, 2013
By
Software Signals

This blog post by Sean Taylor generated quite a stir. He discussed the signals one sends by using certain software packages and seems to think that R users are more competent. The reactions ranged from amusement to bashing. In defense of hard to learn statistical tools, i.e. #rstats prsm.tc/gyTBRK <- pretty funny 'who uses what I encourage you...

Read more »

Monotonic deshrinking in weighted averaging models

January 5, 2013
By
Monotonic deshrinking in weighted averaging models

Weighted averaging regression and calibration is the most widely used method for developing a palaeolimnological transfer function. Such models are used to reconstruct properties of the past lake environment such as pH, total phosphorus, and water temperature with, it has … Continue reading →

Read more »

Monotonic deshrinking in weighted averaging models

January 5, 2013
By
Monotonic deshrinking in weighted averaging models

Weighted averaging regression and calibration is the most widely used method for developing a palaeolimnological transfer function. Such models are used to reconstruct properties of the past lake environment such as pH, total phosphorus, and water temperature with, it has to be said, varying degrees of success and usefulness. In simple weighted averaging (WA) there is little to specify other...

Read more »

Shortening code in R: "with" and "within" are your friends

January 4, 2013
By

If you're anything like me, you use words to name both data frames and variables. I use metadata documentation to keep track of new variables I have constructed, and the logic I have used to construct them (and why I bothered!) but I find many variable...

Read more »

A new version of analogue for a new year

January 4, 2013
By
A new version of analogue for a new year

Yesterday I rolled up a new version (0.10-0) of analogue, my R package for analysing palaeoecological data. It is now available from CRAN. There were lots of incremental changes to Stratiplot() to improve the quality of the stratigraphic diagrams produced … Continue reading →

Read more »

A new version of analogue for a new year

January 4, 2013
By

Yesterday I rolled up a new version (0.10-0) of analogue, my R package for analysing palaeoecological data. It is now available from CRAN. There were lots of incremental changes to Stratiplot() to improve the quality of the stratigraphic diagrams produced and fix several annoying bugs. Also the definition of the standard error of MAT reconstructions was fixed; it...

Read more »

100 most read R posts in 2012 (stats from R-bloggers) – big data, visualization, data manipulation, and other languages

January 2, 2013
By
100 most read R posts in 2012 (stats from R-bloggers) – big data, visualization, data manipulation, and other languages

R-bloggers.com is now three years young. The site is an (unofficial) online journal of the R statistical programming environment, written by bloggers who agreed to contribute their R articles to the site. Last year, I posted on the top 24...

Read more »

You can’t spell loss reserving without R

January 2, 2013
By
You can’t spell loss reserving without R

Last year, I spent a morning trying to return to first principles when modeling loss reserves. (Brief aside to non-actuaries: a loss reserve is the financial provision set aside to pay for claims which have either not yet settled, or have not yet been reported. If that doesn’t sound fascinating, this will likely be a

Read more »

R code and data for book “R and Data Mining: Examples and Case Studies”

January 2, 2013
By
R code and data for book “R and Data Mining: Examples and Case Studies”

R code and data for book “R and Data Mining: Examples and Case Studies” are now available at http://www.rdatamining.com/books/rdm/code. An online PDF version of the book (the first 11  chapters only) can also be downloaded at http://www.rdatamining.com/docs. Below are its … Continue reading →

Read more »

Software engineer’s guide to getting started with data science

December 30, 2012
By
Software engineer’s guide to getting started with data science

Many of my software engineer friends ask me about learning data science. There are many articles on this subject from renowned data scientists (Dataspora, Gigaom, Quora, Hilary Mason). This post captures my journey (a software engin...

Read more »

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)