Hi Jeff, Thanks for your email. I am an intern from Amsterdam and I have to do an analysis in R. I spoke to my professor in Amsterdam and my supervisor's here in Boston. But they are to busy to help. I informed them from the start that I am not familiar with R(Rstudio) and they told me that I would receive guidance. So since they can not help me, I decided to share my problem online. (It is a CVS file imported into R)
Please understand that I am new to this. I will unsubscribe to the mailing list if my question does not belong here. Thanks, Rachel On Sun, Jan 6, 2019 at 11:01 AM Jeff Newmiller <jdnew...@dcn.davis.ca.us> wrote: > I would not want to leave the impression that I think the task at hand is > merely tedious... my point is that there are numerous steps involved and > each step depends on information that has not been communicated to the > list, and there is a learning curve even in knowing what to include in an > email question. What I do think is that knowing enough basic R syntax to > express small bits of the problem in R will be a vast improvement over > attempting to use only English descriptions, and Rachel has to bridge that > initial gap. > > For example, some images of data were apparently sent to Jim only, yet he > still does not know in what format the data file is stored, so that > technique was not very effective. One way for the question to become more > focused is for Rachel to study up on her own how to import data and provide > us with a "dput" (see the StackOverflow discussion I referenced before) of > a small sample of data. Another is for Rachel to use basic R syntax to > create an anonymous data set from scratch (also outlined in the SO > discussion). These approaches allow us to keep the focus of our mailing > list discussion on manipulating the data into summaries. Another approach > is to re-focus the question on importing data by supplying a download link > to the data so we can make suggestions as to what R commands will handle > this data in its raw form. In any case, we cannot leapfrog over the data to > the analysis as the question stands. > > Given the above, I have to wonder why Rachel hasn't simply used the tool > she is familiar with... SPSS... to do this? If it is because this is an > academic assignment to learn R then she should be talking to her > institutional support (instructor/teaching assistant/tutoring staff) anyway > since there is a no-homework policy on this list (and that avenue would > have the benefit of being conducted orally and most likely in her native > language). > > > On January 6, 2019 1:12:46 AM PST, Jim Lemon <drjimle...@gmail.com> wrote: > >Hi Rachel, > >It looks to me as though the first thing you want to do is to get your > >data, which you attach as images, into a data frame. If these are flat > >files like CSV or TAB, you should be able to read them in with some > >variant of the read.table function. If Excel, look at the various > >Excel import packages. Then you can operate on the data frame by doing > >things like tabulating Participant ID against the code for SMS or call > >(which I assume are those 3000+ numbers). You can take the differences > >in what look like POSIX time values between successive TRUE and FALSE > >screen values to get the duration of screen activity and it looks like > >participant activity is recorded at regular intervals. As Jeff > >suggested, this is really just boring work figuring out how to extract > >the events: > > > >call_indices<-which(Probetype == xxxxxxCallLogProbe & ValueSpecified > >== _id & Valuedetailed ==3271) > > > >using suitable logical statements and then tabulating them by > >ParticipantID. If you know how to do that in SPSS, it won't be too > >hard to translate the logical statements into R syntax as above. I may > >have misunderstood the variable names, but I think the logic is clear. > > > >Jim > > > >On Sun, Jan 6, 2019 at 4:07 PM Rachel Thompson > ><rachel.thomp...@student.uva.nl> wrote: > >> > >> Hi Jim, > >> > >> Thank you for the clarification. Since I only work in SPSS and I am > >from Amsterdam I have had problems with specifying what I am trying to > >do in this specific program and also in clear English language. > >> > >> I think I want to indeed aggregate these events for each subject over > >the observation. But in this case several observations. > >> 1. I want to have a summary of how many times a specific subject got > >called (CallLogProbe) > >> 2. I want to have a summary of how many times a specific subject got > >a text message (SMS probe) > >> 3. I want to have a summary of how many times a specific subject > >> - Turned their screen on - True (ScreenProbe) > >> - Or did not turn their screen on - False (ScreenProbe) > >> 4. I want to have a summary of the activity level of a specific > >subject > >> - Activity level - none (ActivityProbe) > >> - Activity level- low (ActivityProbe) > >> - Activity level - High (ActivityProbe) > >> > >> I want to do this for all the 36 subjects(Participants). > >> > >> In the end, I have to define percentages, so I am able to > >say...Subject 36 has low social interactions ( because they only got > >called and texted 500 times in total, while the average of all the > >participants is 10000 or something). I have to come up with the > >percentages myself and define cutoff points of what is considered > >low-medium-high, based on what the results of all the subjects are. > >> > >> I hope that I am as clear as possible . > >> > >> > >> I feel as if I am on my way of understanding it, but since I do not > >clearly know, I am trying out a lot of different codes etc. and I do > >not know if I am doing the right thing. I indeed made a new data frame > >etc, but I still feel a bit lost. Do I need to make one per subject or > >per Probe etc.. > >> > >> > >> Thanks for your help. I hope that you can help me resolve this issue. > >> > >> > >> Best, > >> > >> > >> Rachel > >> > >> > >> > >> > >> > >> > >> On Sat, Jan 5, 2019 at 9:03 PM Jim Lemon <drjimle...@gmail.com> > >wrote: > >>> > >>> Hi Rachel, > >>> I'll take a guess and assume that you are monitoring the mobile > >phones > >>> of 36 people, adding an observation every time some specified change > >>> of state is sensed on each device. I'll also assume that you are > >only > >>> recording four types of measurement. It seems that you want to > >>> aggregate these events for each subject over the interval or > >>> observation (or over each day or something). I think you are going > >to > >>> create a new data frame of these summaries from the one you have of > >>> individual observations. Creating each summary doesn't look too > >hard, > >>> but you will have to define more precisely what you want those > >>> summaries to be. For instance, "I want the mean activity level for > >>> each subject during the overall time that their mobile phone is > >>> switched on", One you have clearly defined your goals, it probably > >>> won't be too hard to get to them. > >>> > >>> Jim > >>> > >>> On Sun, Jan 6, 2019 at 5:39 AM Rachel Thompson > >>> <rachel.thomp...@student.uva.nl> wrote: > >>> > > >>> > Dear Mr/Mrs, > >>> > > >>> > This is my first time working in R studio. > >>> > I have a database of 36 participants but it has 150600 entries. > >>> > Column - Column - Column - Column > >>> > > >>> > Participant Activityprobe - Activity Level - High/low/none > >>> > > >>> > Participant Screenprobe - screenon/off - > >>> > > >>> > Participant SMSprobe etc > >>> > > >>> > Participant CallLogProbe etc. > >>> > > >>> > I need a code that helps me count the activity level of all the > >participants > >>> > High activity level. No activity level and Low activity level. > >>> > And to help me find out for every participant what the percentages > >are of > >>> > all their high/no/low activity. > >>> > > >>> > For screenprobe I need to count how many times the participant > >turned their > >>> > screen on and how many times they turned it off and the percentage > >of > >>> > screen on/off. > >>> > > >>> > For callLog I need to count how many times each participant got > >called and > >>> > the percentage. > >>> > > >>> > For SMS I need to count the number of SMS for each participant and > >their > >>> > percentage. > >>> > > >>> > I also need to categorize the probes. So that my database shows > >all the > >>> > activity levels first, organized by none/high/low and then all the > >>> > screenprobes, organized by on and off etc... > >>> > > >>> > I hope that my description is clear and that you can maybe help > >me. > >>> > > >>> > Best, > >>> > > >>> > Rachel > >>> > > >>> > [[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. > > > >______________________________________________ > >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. > > -- > Sent from my phone. Please excuse my brevity. > [[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.
