Blog Archives

Analysis of HR Emails

March 8, 2014
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Analysis of HR Emails

This study has made an attempt to understand, what HR's in a day dealt with at different working hours, by analyzing their emails from a particular organization. Sample size of the study consists of 7 HRs emails who are located at two different locatio...

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R (Web Server) Solutions – Amplifying Artichokes

May 18, 2013
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R (Web Server) Solutions – Amplifying Artichokes

Every month I see one or more new R based web server solutions coming into the market, sight seeing some of them thought of sharing one of my old architecture map manifested to the client long back in early 2009 (good to see quick spreading of scalable...

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Preview version of RStudio 0.97 is now available

October 28, 2012
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Rstudio has changed its website extension from rstudio.org to rstuido.com/ide and kept its new preveiw version at below link, few new things as "package development" tools are included in this version that makes job easy to develop new package.http:/...

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Read Big Text Files Column by Column

April 27, 2012
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Dear R Programmers,There is new package "colbycol" on CRAN, which makes our jobs easier when we have large files i.e. more than a GB to be read in R. Especially, when we don't need all of the columns/variables for our analysis. Kudos for author, Carlos...

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A view on R Capabilities

December 11, 2011
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A view on R Capabilities

Dear R Programmers,I have tried to capture R capabilites in a single slide. I welcome your comments/suggestions on the same.

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Usage of R functions "table" & "ifelse" when NA’s exist

January 12, 2011
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Most of the time I came across now and then in help posts questions regarding the mismatching total count of observations after employing the R functions "table" and "ifelse". This usually creates frustration among fresh/part-time practitioners which e...

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Usage of R functions "table" & "ifelse" when NA’s exist

January 12, 2011
By

Most of the time I came across now and then in help posts questions regarding the mismatching total count of observations after employing the R functions "table" and "ifelse". This usually creates frustration among fresh/part-time practitioners which e...

Read more »

Knowing whether a time-series has been differenced appropriately in order to make it stationary

May 7, 2010
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Hello everybody,Today I would like to make you learn a simple method (and of-course using R) how to identify whether a time-series has been differenced appropriately while making it stationary.Suppose, you have made a series stationary by differencing it, now in order to know whether it is neither over nor under differenced subject the current series against next level...

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Knowing whether a time-series has been differenced appropriately in order to make it stationary

May 7, 2010
By

Hello everybody,Today I would like to make you learn a simple method (and of-course using R) how to identify whether a time-series has been differenced appropriately while making it stationary.Suppose, you have made a series stationary by differencing it, now in order to know whether it is neither over nor under differenced subject the current series against next level...

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Easy way of determining number of lines/records in a given large file using R

February 10, 2010
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Dear Readers,Today I would like to post the easy way of determining number of lines/records in any given large file using R.Directly to point.1) If data set is small let say less than 50MB or around in R one can read it with ease using: length(readLines("xyzfile.csv"))2) But if data set is too large say more...

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