Displaying 5 results from an estimated 5 matches for "devmag".
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devmap
2009 Aug 01
4
R book for economists
...n. As preparation I
would like to get to know R a little bit better. For Stata there are tons of
books, however, can you recommend a book for R?
I have some substantiated econometrics knowledge, so it should be more a
how-to book.
Best regards
Thiemo
---
Thiemo Fetzer, Economist
http://freigeist.devmag.net
http://www.devmag.net
2014 Sep 27
2
recomendación de librerías para mapas en Shiny
Hola
Estoy ahora mismo en el MADData <http://www.maddata.es/>, y en proceso de
hacer un Shiny, quiero meterle un mapa con los puntos de medida del tráfico
y el tráfico. Pero como novato quería ver si me recomendais alguna librería
para hacer mapas y embeberlos en shiny, ya sea googlemaps, leaflet,
cartodb...
y cualquier enlace a buena documentación es muy bien recibido! :-)
Miguel
2014 Sep 27
2
recomendación de librerías para mapas en Shiny
Muchas gracias Carlos, que rápidez!!, a ver que consigo, ya os pasaré el
link!
El 27 de septiembre de 2014, 19:18, Carlos Ortega <cof en qualityexcellence.es>
escribió:
> Hola Miguel,
>
> Aquí tienes algunos ejemplos:
>
>
> http://freigeist.devmag.net/r/819-fracking-in-your-neighborhood-shale-oil-and-gas-economic-impact-map.html
>
>
> http://blenditbayes.blogspot.com.es/2013/11/introducing-crimemap-web-app-powered-by.html
>
>
> http://rud.is/b/2013/11/27/mapping-power-outages-in-maine-dynamically-with-shinyr/
>
> http...
2008 Apr 11
4
Format regression result summary
Hello to the whole group.
I am a newbie to R, but I got my way through and think it is a lot easier to
handle than other software packages (far less clicks necessary).
However, I have a problem with respect to the summary of regression results.
The summary function gives sth like:
Residuals:
Min 1Q Median 3Q Max
-0.46743 -0.09772 0.01810 0.11175 0.42252
2008 Apr 21
1
Regression inclusion of variable, effect on coefficients
Hello dear R users!
I know this question is not strictly R-help, yet, maybe some of the guru's
in statistics can help me out.
I have a sample of data all from the same "population". Say my regression
equation is now this:
m1 <- lm(y ~ x1 + x2 + x3)
I also regress on
m2 <- lm(y ~ x1 + x2 + x3 + x4)
The thing is, that I want to study the effect of