by Robert A. Muenchen Here is my latest update to The Popularity of Data Analysis Software. To save you the trouble of reading all 25 pages of that article, the new section is below. The two most interesting nuggets it contains are: … Continue reading →
moving average, spatial econometrics, spatial simulation, Stata
Stata: Generate a Spatial Moving Average
by Francis Smart •
Often times we may be interested in generating a spatial moving average of a characteristic X. We may use this moving average to help control for heterogeneity in the population which may be related to the spatial distribution of observations. In order…
Basic functions, basic programming, excel, foreach, KALAHICIDDS, outreg, Postestimation, putexcel, returned results, system variables, tabout
Put anything anywhere in Excel without sweat
by Mitch Abdon •
putexcel has recently become a very good friend. For those who (or working with people who) find comfort in working with tables in Excel after data processing or estimation in Stata (yes, there are others who don’t find comfort in this.) and already into Stata 13, learning putexcel could be very helpful (put an end […]
economic sociology
Obfuscation Form 700
by gabrielrossman •
 Gabriel  [crossposted from TAS] The Supreme Court recently ruled in favor of Hobby Lobby but among the many things that are not widely understood is that the decision did not actually result in the firm’s employees losing insurance coverage for IUDs. The actual result is that the employees will still have coverage for IUDs, but […]
data management, R, SPSS, usespss
No usespss for Mac
by Mitch Abdon •
In Reading SPSS data file into Stata, I describe Sergiy Radyakin’s usespss that loads SPSS data (.sav) into Stata. I was on Windows then. usespss is unfortunately not available for Mac OS. StatTransfer could easily do this if you have the software. Another option is to use R. A quick Google search led me to a simple […]
Stata, Statistics, visualization
Railroad Diagrams for Multilevel Models
by Andrew GroganKaylor •
Approximately every other year, I teach a course on multilevel models, which I am again teaching in Fall 2014. In preparation for that course, I’ve been thinking about new ways of presenting the ideas of multilevel modeling.For work on another pr…
data, metaanalysis, R, Stata, Statistics
Metaanalysis methods when studies are not normally distributed
by Robert •
Yesterday I was reading Kontopantelis & Reeves’s 2010 paper “Performance of statistical methods for metaanalysis when true study effects are nonnormally distributed: A simulation study“, which compares fixedeffects and a variety of random effects models under the (entirely realistic) situation … Continue reading →
data, dataviz, graphics, JavaScript, maps, Stata, visualization
stata2leaflet v0.1 is released
by Robert •
Use Stata? Want to make an interactive online map with markers at various locations, colored according to some characteristic, with popup information when they’re clicked on? Easy. Head over to my website and download stata2leaflet. It’s in a kind of … Continue reading →
April, longitudinal, Stata, Switzerland, visualization, weather
“April weather” – is it real?
by LF •
“April weather”, we would say. It was a simple fact of life, as inevitable as death and taxes, and to be endured with the same humility. The weather in April just sucked. After March’s promise of spring, April was a … Continue reading →
Stata
Updated Michigan graph scheme for Stata
by Andrew GroganKaylor •
I have updated my Michigan graph scheme for Stata.I was inspired by this style guide, though the color matches are not exact. In future releases of this graph scheme, I hope to exactly match these colors using the exact RGB triplets.The updates t…
climate, data, longitudinal, Stata, Switzerland, temperature, visualization, weather
The Perfect Climate Index, Take I
by LF •
What is the ideal climate? After having recently experienced the silky sensual feeling of low daynight temperature difference (here), I’m adding it together with a bunch of usual suspects – high T max, long sunshine hours, litle precipitation – to … Continue reading →
basic programming, debug, do file, trace
Tell me, where did I go wrong
by Mitch Abdon •
If you are Filipino, you are most likely singing the title by now Looking for a missing bracket, a misplaced comma, or a space that shouldn’t be there—or debugging in general—can be a pain sometimes. When the usual error message fails to point out where you messed up, try turning trace on to track down […]
blogging, quandl, R, Rbloggers, Stata
Why Blog?
by Francis Smart •
The Blog Review ProcessA series of events in my life have lead me to reconsider the value of blogging.The Back StoryShort story: I got fired.Long story: Recently I was hired to write occasional blog posts for Quandl. They probably figured that due to m…
Stata, Statabloggers
Tall Stata, low math, extra pixels
by Francis Smart •
With a clever titled blog and in well written indepth initial post, Alex Gamma at the University of Zurich, Switzerland enters the Stata blogging scene. Check out his post on “The nicest place to live in Switzerland” at Tallstata.wordpress.com. Tall S…
climate, data, longitudinal, Stata, Statistics, Switzerland, temperature, visualization, weather
The nicest place to live in Switzerland
by LF •
Last December, I discovered the secret of a perfect climate. Yes, I already knew: warm weather, little rain, and lots of sunshine. But when I spent some time on the Canary Islands – wow! – I experienced the bliss of … Continue reading →
Books and websites, help, Statalist
Statalist, too, has a new home
by Mitch Abdon •
If you have been following Statalist (see Stuck? Hello Statalist), the emailbased support system for Stata users, you must have long known that it has moved to a new home and a new format. Statalist is now a forum hosted at Stalist.org maintained by StataCorp but moderated by a “friendly group” (quoted from the site) of […]
Basic functions, do, ios, keyboard shortcut, mac, run
Haiku: do
by Mitch Abdon • • 0 Comments
run me ctrld in pc, in ios ’tis cmdshiftd
R, Rbloggers, RStata, Stata
RStata: Funny or just annoying?
by Francis Smart •
Okay okay. The joke is up. Besides likely necessitating an emergency call to from the Stata Management Team to the Stata Legal Team, my post on April 1st of 2014 entitled “RStata: Stata Fully Mapped into R”, was intended as a practical joke…
Basic functions, split, string
Splitting strings
by Mitch Abdon • • 0 Comments
In destring complication, Anup asked how to split a string variable. In his case, he has a variable of the form 281800180218310002OB where 28 represents state code, 18 represents districts code, 0018 represents subdistricts code and 02183100 represents village code. His problem is how to extract the state, districts, etc. codes separately from the variable and label all the […]
animation, data, Stata, Statistics
Animated graphs hits the Stata blog
by Robert • • 0 Comments
Chuck Huber of StataCorp (the voice behind those great YouTube videos) has just been blogging about animated graphs. He looks into using Camtasia software as well as my ffmpeg approach. And even if you’re not interested in making any such … Continue reading →
data, R, SPSS, Stata, Statistics
Beeps and progress alerts to your phone
by Robert • • 0 Comments
Recently I encountered an R package called pingr, made by Rasmus Bååth (the same guy who did MCMC in a web page, my visualization of 2013). You install it, you type ping(), and it goes ping. Nice. In fact there … Continue reading →
April fools, R, Rbloggers, RStata, Stata
Stata Fully Mapped into R
by Francis Smart •
Hello all of you Stata loving statistical analysts out there! I have great news. I am finally nearly done with the package I have been working on which provides the mechanism for Stata users to seamlessly move from Stata to R though use of …
Uncategorized
Rolling standard deviations and missing observations
by Mitch Abdon • • 0 Comments
In And we’re rolling, rolling; rolling on the river, Hasan asked how he could “keep only those values that were calculated using at least 3 observations” after he calculated the 4 period rolling standard deviation of a set of observations. One solution is to tag the periods when the missing observations within the window (in […]
blog aggregator, R, R promo, Rbloggers, Stata, statistical software overview
Why use R? Five reasons.
by Francis Smart •
Acknowledgements
I would like to thank the bloggers Robert A. Meunchen and David Smith whose informative blog posts were useful in researching this post. I would also like to thank my fiance Jennifer Cairns for suggesting the idea of this blog post. Perhaps some day you will give up your Stata loving ways.
R is Free Bob

Stata (SE)

SPSS

SAS

STATISTICA QC

Student


Business

Quote Requested

Major Version Release History Table
Year

Stata

SPSS

SAS

STATISTICA

R

1999


2000


2001


2002


2003


2004


2005


2006


2007


2008


2009


2010


2011


2012


2013


2014

R is Popular
R is Powerful
R can handle complex and large data
R is Flexible
Here are some resources:
blog aggregator, R, R promo, Rbloggers, Stata, statistical software overview
Why use R? Five reasons.
by Francis Smart •
Acknowledgements
I would like to thank the bloggers Robert A. Meunchen and David Smith whose informative blog posts were useful in researching this post. I would also like to thank my fiance Jennifer Cairns for suggesting the idea of this blog post. Perhaps some day you will give up your Stata loving ways.
R is Free Bob

Stata (SE)

SPSS

SAS

STATISTICA QC

Student


Business

Quote Requested

Major Version Release History Table
Year

Stata

SPSS

SAS

STATISTICA

R

1999


2000


2001


2002


2003


2004


2005


2006


2007


2008


2009


2010


2011


2012


2013


2014

R is Popular
R is Powerful
R can handle complex and large data
R is Flexible
Here are some resources:
data management, R, Rbloggers, Stata
It is time for RData files to become the standard for Data Transfer
by Francis Smart •
Native Format

Read Time

Zipped


Comma Separated Values

627.7 MB



120.4 MB

R

55.3 MB

1.12

54.3 MB

Stata

318.2 MB

1.24

79.5 MB

Size

Zipped


Borland Database Format (DBF)

130 MB

4.5 MB

Microsoft Access Database (MDB)

110 MB

7.2 MB

SPSS/PAWS (SAV)

45 MB

4.8 MB

R (Rdata)

3.2 MB

3.1 MB

bias, OLS, omitted constant, regression, Simulation, Stata
Omitting Constant may Introduce Biased Coefficients
by Francis Smart • • 0 Comments
It is well known that dropping the constant in regression analysis may introduce bias. However, bias is really not the deeper issue. The deeper issue is that by omitting the constant, you are specifying a very specific form for the relationship b…