Dear Rachel Not sure if this is going to help but if it is a csv file then read.csv() is your friend. Read the help first in case you need to specify what is being used for the decimal point and the separator as if it is from the Netherlands they may not be the default settings. michael On 06/01/2019 16:37, Rachel Thompson wrote:> 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 <jdnewmil at 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 <drjimlemon at 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.thompson at 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 <drjimlemon at 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.thompson at 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 at 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 at 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 at 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. >-- Michael http://www.dewey.myzen.co.uk/home.html
Hi Michael Thanks, I'll check it out. Best, Rachel On Sun, Jan 6, 2019 at 11:45 AM Michael Dewey <lists at dewey.myzen.co.uk> wrote:> Dear Rachel > > Not sure if this is going to help but if it is a csv file then > read.csv() is your friend. Read the help first in case you need to > specify what is being used for the decimal point and the separator as if > it is from the Netherlands they may not be the default settings. > > michael > > On 06/01/2019 16:37, Rachel Thompson wrote: > > 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 <jdnewmil at 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 <drjimlemon at 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.thompson at 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 <drjimlemon at 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.thompson at 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 at 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 at 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 at 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. > > > > -- > Michael > http://www.dewey.myzen.co.uk/home.html >[[alternative HTML version deleted]]
Hello, In many continental European countries, such as mine, the function to use is read.csv2 It defaults to sep = ";", dec = "," Note that these functions are in fact calls to read.table with special default arguments. Another default that changes is header = TRUE. You might also want to set stringsAsFactors = FALSE since the default value TRUE is a common source for errors. Hope this helps, Rui Barradas ?s 16:45 de 06/01/2019, Michael Dewey escreveu:> Dear Rachel > > Not sure if this is going to help but if it is a csv file then > read.csv() is your friend. Read the help first in case you need to > specify what is being used for the decimal point and the separator as if > it is from the Netherlands they may not be the default settings. > > michael > > On 06/01/2019 16:37, Rachel Thompson wrote: >> 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 <jdnewmil at 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 <drjimlemon at 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.thompson at 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 <drjimlemon at 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.thompson at 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 at 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 at 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 at 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. >> >
Hi Rui, Thank you, I willl look into it. Best, Rachel On Sun, Jan 6, 2019 at 12:27 PM Rui Barradas <ruipbarradas at sapo.pt> wrote:> Hello, > > In many continental European countries, such as mine, the function to > use is > > read.csv2 > > It defaults to > > sep = ";", dec = "," > > Note that these functions are in fact calls to read.table with special > default arguments. Another default that changes is header = TRUE. > You might also want to set stringsAsFactors = FALSE since the default > value TRUE is a common source for errors. > > Hope this helps, > > Rui Barradas > > ?s 16:45 de 06/01/2019, Michael Dewey escreveu: > > Dear Rachel > > > > Not sure if this is going to help but if it is a csv file then > > read.csv() is your friend. Read the help first in case you need to > > specify what is being used for the decimal point and the separator as if > > it is from the Netherlands they may not be the default settings. > > > > michael > > > > On 06/01/2019 16:37, Rachel Thompson wrote: > >> 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 < > jdnewmil at 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 <drjimlemon at 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.thompson at 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 <drjimlemon at 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.thompson at 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 at 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 at 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 at 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. > >> > > >[[alternative HTML version deleted]]