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Hi

Thank you for your help and suggestions!
I have tried a few things and ask help from lots of people online!

My problem is that I am not able to share the database! I tried to recreate one but I wasn't successful.
So I found a way to analyze each subject individually, but I do not know how to perform the same steps for all of the subjects at once.
But I just wanted to share what I did, since you tried to help me!

This is what I did.

I stored all the column names in a vector named "Names"

names=c("participants","id","participantid","key","probetype","time","timespecific","value","valuespecified","valuedetailed","period","periodspecified")



colnames(gmoji_passivedata)=names



I used this code to find the number of participants in the dataset



length(unique(gmoji_passivedata$participants))

The number of participants is 44



I used this code to find the unique ID for every participant



library(plyr)

count(gmoji_passivedata,?participants")

From the dataset, I selected one participant ""U_..."

I used subset data



participant1=subset(gmoji_passivedata,participants=="U_0139cf62_e615_41f7_a4cc_878c0490c510")





With the table code

table(p1$probetype) I found the counts of all the different values of the probe type column



edu.mit.media.funf.probe.builtin.ActivityProbe

                                                                      16167

edu.mit.media.funf.probe.builtin.BluetoothProbe

                                                                      405

  edu.mit.media.funf.probe.builtin.CallLogProbe

                                                                      1427

   edu.mit.media.funf.probe.builtin.ScreenProbe

                                                                      1791

     edu.mit.media.funf.probe.builtin.WifiProbe

                                                                       5386



The count for the call log probe for the selected participant is 1427



There was only one participant with sms probe for the rest of the participant the count of sms probe is 0



For the screen probe and activity probe I found the total count (1791 and 16167)



For screen probe, I used a subset code and set the value detailed column to false and true



screenon_false=subset(p1,valuedetailed=="False") (this participant 875)

screenon_true=subset(p1,valuedetailed=="True")   (this participant 916)



and for activity probe to none, low and high to find the required values



activity_none=subset(p1,valuedetailed=="none")   (this participant 12900)

activity_low=subset(p1,valuedetailed=="low")     (this participant 1050)

activity_high=subset(p1,valuedetailed=="high")   (this participant 2217)





I did this for each participant


Best,


Rachel


On Sun, Jan 6, 2019 at 2:48 PM Richard M. Heiberger <rmh at temple.edu> wrote:

Questions like this
1. I want to have a summary of how many times a specific subject got called
(CallLogProbe)

suggest that you should look at the table function.  See
?table
and run the examples.
They show how to get one-way frequency tables and two-way contingency tables.

If you have followup questions for the list, you can use the examples in ?table as your starting point.
That way you don't need to worry about sharing your own data.


On Sun, Jan 6, 2019 at 1:59 PM Rachel Thompson <rachel.thompson at student.uva.nl> wrote:

Hi Rich,

I really feel lost at this point.
I need a code that helps me count the phone activity level(high/low/none),
the screen activity (on/off) and the amount calls and SMS of each subject.

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 the percentages and cutoff points of what is
considered low-medium-high, based on what the results of all the subjects
are. So I am able to see if a specific subject has low social interaction
etc.

I have tried a lot, with the help of youtube etc. But I feel as if I am
trying a lot of things but without clearly knowing if it is the right step.
I have a csv file, but I need to look into what Jeff said about the guides.
So I am able to share it.

Best.


On Sun, Jan 6, 2019 at 11:51 AM Rich Shepard <rshepard at appl-ecosys.com>
wrote:

On Sun, 6 Jan 2019, Rachel Thompson wrote:

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)

Rachel,

   I find it interesting that you're put in such a difficult position. I've
not followed this thread from the start so my comments might be redundant
or
inappropriate.

   If you can, describe the problem. That is, what are you being asked to
find and what are the available data? This information helps us to guide
you
to learning the mechanics for accomplishing your task with R.

Regards,

Rich

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