Written by , on March 27, 2015 in Software, R.
Last update on March 27, 2015.
We have conducted 8 R Brown-bag seminars till now. This week we decided to revisit some of the examples shown in previous seminars, participants were asked to write code in RStudio and show results (code writing practice session).
See the presentation of seminar 8 below
Data used in this seminar is available here and source ...
Written by on March 25, 2015 in Biodiversity, Land Degradation, Deforestation, Soil Mapping.
Last update on March 27, 2015.
ggplot2 and dplyr
The seventh R brownbag seminar was by Dr. Tor G. Vagen (Senior Scientist, ICRAF) who continued from the previous week and demonstrated more advanced use of ggplot2. The dplyr package, which will be the topic of several future seminars was also introduced.
# Tor-G Vågen
# R brownbag seminar march 19th, 2015
# For those ...
Written by , on March 12, 2015 in R, Training.
Last update on March 12, 2015.
Sixth seminar of "R brown-bag seminars" was held in ICRAF today. Leigh Winowiecki (PhD, Soil Scientist, CIAT) presented "Introduction to ggplot" topic. Presentation of today's seminar is available here.
Data used in this seminar is available here and source code from seminar 6 is shown below:
#Leigh Winowiecki
#ICRAF Training March 12, 2015
#load ...
Written by on March 6, 2015 in Biodiversity, Land Degradation, Deforestation, Soil Mapping.
Last update on March 6, 2015.
The field team from the ICRAF GeoScience Lab led by John Maina and Clement Okia (ICRAF Uganda) has completed the first of two Land Degradation Surveillance Framework (LDSF) sites on Mt Elgon in Uganda, as part of the project "Filling knowledge gaps on the restoration of degraded smallholder landscape mosaics". See slides below to get ...
After a one-week break, our brown-bag seminar series resumed again. In seminar 5, Antony Ndungu presented a number of different R graphing functions. Complete source code for the 5th seminar is available below, while the data used in the exercises can be found here.
NB! From next week, we will looking at the wonderful ggplot2 ...