multiger.blogg.se - Rstudio download windows

Information on required packages may be sent ahead of time, may be listed in the workshop repository, or you may be asked to install additional packages during the workshop. Once R and RStudio are installed, open RStudio to make sure that it works and there are no errors when you open it.For all options above, you may need to install additional packages.

Under Installers select the version for your distribution.

To install RStudio, go to the RStudio Download page.

for Debian/Ubuntu run sudo apt-get install r-base and for Fedora run sudo yum install R). Or you can use your package manager (e.g. You can download the binary files for your distribution from CRAN. R is available through most Linux package managers. Once R and RStudio are installed, open RStudio to make sure it works and you don’t get any error messages.

Once it’s downloaded, double click the file to install it.

Under Installers select RStudio current version # - Mac OS X 10.6+ (64-bit) to download it.Double click on the file that was downloaded and R will install.pkg file for the version of OS X that you have and the file will download. Go to CRAN and click on Download R for (Mac) OS X.Once R and RStudio are installed, open RStudio to make sure that you don’t get any error messages. Under Installers select RStudio current version # - Windows XP/Vista/7/8/10.exe file that was downloaded in the step above. Be able to download and install R and Rstudio on your laptop.

SECTION 15 LAST CLASS: FINAL PROJECT PRESENTATIONS.SECTION 14 FINAL PROJECTS & COURSE FEEDBACK DISCUSSION.

SECTION 10 MIDTERM REVIEW / PRESENTATION BEST PRACTICES.

SECTION 9 STUDY FIRE USING REMOTE SENSING DATA.

8.1 Fire / spectral remote sensing data - in R.

SECTION 8 QUANTIFY FIRE IMPACTS - REMOTE SENSING.

SECTION 7 MULTISPECTRAL IMAGERY R - NAIP, LANDSAT, FIRE & REMOTE SENSING.

Uncertainty in Scientific Data & Metadata

SECTION 5 LIDAR DATA IN R - REMOTE SENSING UNCERTAINTY.

Refine R Markdown Reports with Images and Basemaps

SECTION 2 INTRO TO R & WORK WITH TIME SERIES DATA.