Graphics and Visualisation in R
Presented by Divya Vasudev[/et_pb_text][/et_pb_column][/et_pb_row][et_pb_row make_fullwidth=”on” _builder_version=”3.12.2″][et_pb_column type=”2_3″ _builder_version=”3.12.2″ parallax=”off” parallax_method=”on”][et_pb_text _builder_version=”3.12.2″]
Ecologists are confronted with various types of data (e.g. as strings of numbers, matrices, survival data, etc.), and the outputs of their analyses (e.g. slopes and intercepts from a regression, outputs from mathematical models). More often than not, visualising data, as well as analysis results makes for better interpretation and communication of research (with certain caveats). R is an especially powerful software for graphing and eyeballing ecological data and analyses, although much of this power remains largely untapped by most ecologists. This workshop aims to introduce students to the various data and analysis graphics options available in R, so that researchers can further build upon this to create even more informative and innovative graphics using R (this is not as difficult as it sounds!). Prior experience with handling data in R would would be highly desirable, but is not absolutely essential.
All participants should have laptops, and RStudio desktop and the latest version of R installed on their laptops. In addition, participants should have the following packages installed in R: lattice, Hmisc and ggplot2.
R can be downloaded at:
RStudio can be downloaded at:
Relevant packages can be downloaded and installed from: