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Hi Scott, I have never done this myself but I read something recently on the r-help distribution that was related. I just did a quick search and found a few hits that might work for you. 1. https://medium.com/@CharlesBordet/how-to-extract-and-clean-data-from-pdf-files-in-r-da11964e252e 2. http://bxhorn.com/2016/extract-data-tables-from-pdf-files-in-r/ 3. https://www.rdocumentation.org/packages/textreadr/versions/0.7.0/topics/read_pdf HTH, Eric On Wed, Jan 24, 2018 at 3:58 AM, Scott Clausen <scottclausen at mac.com> wrote: > Hello, > > I?m new to R and am using it with RStudio to...

Hello, I?m new to R and am using it with RStudio to learn the language. I?m doing so as I have quite a lot of traffic data I would like to explore. My problem is that all the data is located on a number of PDFs. Can someone point me to info on gathering data from other sources? I?ve been to the R FAQ and didn?t see anything and would appreciate your thoughts. I am quite sure now that often,

...this myself but I read something recently on the > r-help distribution that was related. > I just did a quick search and found a few hits that might work for you. > > 1. > https://medium.com/@CharlesBordet/how-to-extract-and-clean-data-from-pdf-files-in-r-da11964e252e > 2. http://bxhorn.com/2016/extract-data-tables-from-pdf-files-in-r/ > 3. > https://www.rdocumentation.org/packages/textreadr/versions/0.7.0/topics/read_pdf > > HTH, > Eric > > On Wed, Jan 24, 2018 at 3:58 AM, Scott Clausen <scottclausen at mac.com> > wrote: > > Hello, > > &g...

I am having trouble getting the rgal package to work on Mac OS X. I suspect it has something to do with the link between the rgal package and the associated programs GDAL and PROJ4. Here is the message I get when I attempt to load rgal > library("rgdal") Error in dyn.load(file, DLLpath = DLLpath, ...) : unable to load shared object

I use the ff-package for large data and have good success in session. To ensure my data is available for the next R session, I save my workspace and use the /ffsave/ command to archive my large data objects. Syntax is simple: > ffsave(file="~/path/archiveName", list="objectName") when I have multiple files to save, the list is expanded using c(). When I start a new R