Jeff -- Thank you for the clarification. Ezra
On Fri, Nov 6, 2015 at 10:36 AM, Jeff Newmiller <jdnew...@dcn.davis.ca.us> wrote: > Please keep the list in the conversation. > > Yes stacking was my intention, since the graphical presentation does not > need the same time basis. However, your other analyses may indeed require > that you interpolate or decimate to obtain aligned data records. > --------------------------------------------------------------------------- > Jeff Newmiller The ..... ..... Go Live... > DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live > Go... > Live: OO#.. Dead: OO#.. Playing > Research Engineer (Solar/Batteries O.O#. #.O#. with > /Software/Embedded Controllers) .OO#. .OO#. rocks...1k > --------------------------------------------------------------------------- > Sent from my phone. Please excuse my brevity. > > On November 6, 2015 8:01:55 AM PST, Ezra Boyd <ezgi...@gmail.com> wrote: > >Jeff, > > > >Thank you very much for responding. I actually read and worked through > >most of ggplot2 and ggplot2 Essentials for this task, but was starting > >to > >think they were not what I needed. > > > >The problem that I cannot get over is that my two timeseries datasets > >are > >based on different samplings, 30-mins for the tidal and 6-mins for the > >meteorological: > > > >Tidal Data > >TS Stage_ft 1/9/2001 16:00 -0.41 1/9/2001 16:30 -0.43 1/9/2001 17:00 > >-0.44 1/9/2001 > >17:30 -0.43 1/9/2001 18:00 -0.4 > >Meteorological > >DATETIME WINDSPEED DIR 8/15/2012 0:00 5.05 228 8/15/2012 > >0:06 > >4.08 225 8/15/2012 0:12 4.08 216 8/15/2012 0:18 4.47 222 8/15/2012 0:24 > >5.05 > >219 8/15/2012 0:30 3.5 226 > > > >Do I understand your suggestion correctly that I should tidy up the > >dataset > >by stacking them in the dataframe, and then facet them using a type > >column? > >TS Stage_ft WINDSPEED DIR Type 1/9/2001 16:00 -0.41 T 1/9/2001 > >16:30 > >-0.43 T 1/9/2001 17:00 -0.44 T 1/9/2001 17:30 -0.43 T 1/9/2001 > >18:00 -0.4 T 8/15/2012 0:00 5.05 228 M 8/15/2012 0:06 4.08 225 > > M 8/15/2012 > >0:12 4.08 216 M 8/15/2012 0:18 4.47 222 M 8/15/2012 0:24 5.05 > >219 M 8/15/2012 > >0:30 3.5 226 M > >Or, do I need to look into timeseries methods for combining datasets > >with > >different samplings? > > > >Thanks again and I appreciate you taking the time to share your > >knowledge. > > > >Regards, > > > >Ezra > > > > > > > > > > > > > > > > > >On Thu, Nov 5, 2015 at 7:25 PM, Jeff Newmiller > ><jdnew...@dcn.davis.ca.us> > >wrote: > > > >> Seems like you would benefit from reading about long and wide data... > >> perhaps [1]. > >> > >> If I am understanding what you want, ggplot facetting should be able > >to > >> do what you want. You first have to put the data in long form (e.g. > >> variable, timestamp, value) before you give it to ggplot. > >> > >> If you want more specific help then you should provide a small sample > >data > >> set as one or more R dputs as the Posting Guide recommends (see > >footer, > >> and [2]). > >> > >> [1] > >https://cran.r-project.org/web/packages/tidyr/vignettes/tidy-data.html > >> > >> [2] > >> > > > http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example > >> > > >--------------------------------------------------------------------------- > >> Jeff Newmiller The ..... ..... Go > >Live... > >> DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live > >> Go... > >> Live: OO#.. Dead: OO#.. > >Playing > >> Research Engineer (Solar/Batteries O.O#. #.O#. with > >> /Software/Embedded Controllers) .OO#. .OO#. > >rocks...1k > >> > > >--------------------------------------------------------------------------- > >> Sent from my phone. Please excuse my brevity. > >> > >> On November 5, 2015 7:00:18 AM PST, Ezra Boyd <ezgi...@gmail.com> > >wrote: > >> >Hello, > >> > > >> >I am trying to create a plot (I guess two plots) using two different > >> >time > >> >series datasets, but I'm not sure of the best approach. The data is > >> >from a > >> >tidal surge due to a hurricane and I would like to show the > >> >relationship > >> >between stage and windspeed/direction. > >> > > >> >One dataset is the tidal stage and it is sampled in 30 minutes > >> >intervals. > >> >The other dataset is windspeed and direction and it is sampled every > >6 > >> >minutes. I would like to display the tidal hydrograph and then also > >> >show > >> >windspeed and direction as a banner above it. They would be two > >> >separate > >> >plots, but with identical x-axis (as opposed to one plot that has > >both > >> >tide > >> >& wind.) > >> > > >> >Should I combine the two time series into one dataframe (with lots > >of > >> >NAs) > >> >so that I can create the plots together, for example using pairs or > >> >ggpairs? Or should I keep them separate, make the individual plots, > >and > >> >then work on the layout in graphic design software? I would prefer > >the > >> >former, but I just can't figure out how to make that work out. > >> > > >> >Also, is it possible to depict wind direction (which is given in > >degree > >> >clockwise from due north) with an arrow? > >> > > >> >Thank you very much, > >> > > >> >Ezra > >> > >> > > -- Ezra Boyd, PhD DisasterMap.net, LLC <http://DisasterMap.net> ezgis <ezgi...@gmail.com>7...@gmail.com <ezgi...@gmail.com> (504)533-4447 [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
