Hallo World

This blog is dedicated to my exploration of the R environment. I have been using R for the better part of eight years and have recently build a packages - PanJen - and started a small summer course on data management – course link. 

At the moment I am working as a postdoc at Copenhagen University at department for food and resource economics. My main research area has been to develop urban planning models based property value models. Needless to say, I have spent a lot of time working on spatial data as a defining property of a property is its location. You can find reference to my publications here:google scholar profile

I hope with this blog to structure my thoughts and share my R innovation with readers.

Here is some links to stuff people have been sharing with me and the web  which I find to be interesting.

Get inspired 

http://www.r-bloggers.com/

Get Help &Learn R

http://stackoverflow.com/

http://www.statmethods.net/ 

https://cran.r-project.org/doc/contrib/Short-refcard.pdf

https://www.ualberta.ca/~ahamann/teaching/renr690/R_Cheat_Data.pdf

http://rseek.org/ 

survival-kit

Cool data management 

http://www.r-bloggers.com/fuzzy-string-matching-a-survival-skill-to-tackle-unstructured-information/

From Excel,sas, stata to R 

http://www.r-bloggers.com/introduction-to-r-for-excel-users/ 

https://science.nature.nps.gov/im/datamgmt/statistics/r/documents/r_for_sas_spss_users.pdf

http://www.lexjansen.com/phuse/2014/ad/AD04.pdf

https://www.dropbox.com/s/ogvsp0waf969cbl/R_manuals.zip?dl=0

On data science 

http://www.r-bloggers.com/getting-started-in-applied-statistics-datascience/

http://www.r-bloggers.com/whats-the-difference-between-machine-learning-statistics-and-data-mining/

http://www.r-bloggers.com/what-is-reproducible-research/

http://www.r-bloggers.com/what-consumers-learn-before-deciding-to-buy-representation-learning/

GIS related links 

http://planet.qgis.org/planet/tag/routing/

http://www.nickeubank.com/wp-content/uploads/2015/10/RGIS2_MergingSpatialData_part2_GeometricManipulations.html 

http://www.qgis.org/en/site/

http://www.qgistutorials.com/en//

http://maps.cga.harvard.edu/qgis/

http://www.qgis.org/en/docs/index.html

https://hub.qgis.org/wiki/17/How_do_I_do_that_in_QGIS

http://www.r-bloggers.com/the-leaflet-package-for-online-mapping-in-r/

http://pakillo.github.io/R-GIS-tutorial/

https://cran.r-project.org/web/views/Spatial.html

http://www.r-bloggers.com/network-analysis-with-igraph/

http://rstudio-pubs-static.s3.amazonaws.com/7993_6b081819ba184047802a508a7f3187cb.html

http://www.r-bloggers.com/qgis-open-source-gis-r/

R plots

http://shinyapps.org/apps/RGraphCompendium/index.php 

http://www.everydayanalytics.ca/2014/09/5-ways-to-do-2d-histograms-in-r.html

http://www.cookbook-r.com/Graphs/Axes_(ggplot2)/

http://teachpress.environmentalinformatics-marburg.de/2013/07/creating-publication-quality-graphs-in-r-7/

http://www.stat.columbia.edu/~tzheng/files/Rcolor.pdf

https://www.datacamp.com/community/tutorials/15-questions-about-r-plots

Online course and other lists

https://www.coursera.org/specializations/jhu-data-science 

http://www.exactness.net/post/143651799365/introduction-to-r-for-data-science

http://stcorp.nl/R_course/

http://www.r-bloggers.com/learning-r-index-of-online-r-courses-october-2015/

http://www.r-bloggers.com/a-video-tutorial-on-r-programming-the-essentials/

http://www.computerworld.com/article/2497464/business-intelligence/business-intelligence-60-r-resources-to-improve-your-data-skills.html

https://sites.google.com/site/econometricsacademy/home

http://spatial-ecology.net/dokuwiki/doku.php?id=wiki:r

Cool data analysis

http://www.r-bloggers.com/survival-analysis-2/

R books 

https://www.crcpress.com/Stated-Preference-Methods-Using-R/Aizaki-Nakatani-Sato/p/book/9781439890479

http://www.r-bloggers.com/bootstrapping-standard-errors-for-difference-in-differences-estimation-with-r/