Hi R users, I'm trying to manipulate a dataframe and have some difficulties. The original dataset is like this: DF year month total id note 2000 1 98 GA 1 2001 1 100 GA 1 2002 2 99 GA 1 2002 2 80 GB 1 ... 2012 1 78 GA 2 ... The structure is like this: when year is between 2000-2005, note is 1; when year is between 2006-2010, note is 2; GA, GB, etc represent different groups, but they all have years 2000-2005, 2006-2010, 2011-2015. I want to calculate one average value for each month in each time slice. For example, between 2000-2005, when note is 1, for GA, there is one value in month 1, one value in month 2, etc; for GB, there is one value in month 1, one value in month 2, between this time period. So later, there is no 'year' column, but other columns. I tried the script: DF_GA = aggregate(total~year+month,data=subset(DF, id==GA¬e==1)), but it did not give me the ideal dataframe. How to do then? Thanks for your help. [[alternative HTML version deleted]]
Hi, It may help that: aggregate(DF$total, list(DF$note, DF$id, DF$month), mean) should give you means broken down by time slice (note), id and month. You could then subset means for GA or GB from the aggregated dataframe. Philip On 27/11/2016 3:11 AM, lily li wrote:> Hi R users, > > I'm trying to manipulate a dataframe and have some difficulties. > > The original dataset is like this: > > DF > year month total id note > 2000 1 98 GA 1 > 2001 1 100 GA 1 > 2002 2 99 GA 1 > 2002 2 80 GB 1 > ... > 2012 1 78 GA 2 > ... > > The structure is like this: when year is between 2000-2005, note is 1; when > year is between 2006-2010, note is 2; GA, GB, etc represent different > groups, but they all have years 2000-2005, 2006-2010, 2011-2015. > I want to calculate one average value for each month in each time slice. > For example, between 2000-2005, when note is 1, for GA, there is one value > in month 1, one value in month 2, etc; for GB, there is one value in month > 1, one value in month 2, between this time period. So later, there is no > 'year' column, but other columns. > I tried the script: DF_GA = aggregate(total~year+month,data=subset(DF, > id==GA¬e==1)), but it did not give me the ideal dataframe. How to do > then? > Thanks for your help. > > [[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.
A reproducible example was not provided, but I think what is wanted is either ?tapply or ?ave; e.g. within(DF, means <- ave(total, note, month, FUN = mean)) Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Sat, Nov 26, 2016 at 3:42 PM, P Tennant <philipt900 at iinet.net.au> wrote:> Hi, > > It may help that: > > aggregate(DF$total, list(DF$note, DF$id, DF$month), mean) > > should give you means broken down by time slice (note), id and month. You > could then subset means for GA or GB from the aggregated dataframe. > > Philip > > On 27/11/2016 3:11 AM, lily li wrote: >> >> Hi R users, >> >> I'm trying to manipulate a dataframe and have some difficulties. >> >> The original dataset is like this: >> >> DF >> year month total id note >> 2000 1 98 GA 1 >> 2001 1 100 GA 1 >> 2002 2 99 GA 1 >> 2002 2 80 GB 1 >> ... >> 2012 1 78 GA 2 >> ... >> >> The structure is like this: when year is between 2000-2005, note is 1; >> when >> year is between 2006-2010, note is 2; GA, GB, etc represent different >> groups, but they all have years 2000-2005, 2006-2010, 2011-2015. >> I want to calculate one average value for each month in each time slice. >> For example, between 2000-2005, when note is 1, for GA, there is one value >> in month 1, one value in month 2, etc; for GB, there is one value in month >> 1, one value in month 2, between this time period. So later, there is no >> 'year' column, but other columns. >> I tried the script: DF_GA = aggregate(total~year+month,data=subset(DF, >> id==GA¬e==1)), but it did not give me the ideal dataframe. How to do >> then? >> Thanks for your help. >> >> [[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.
You did not provide any data, but I will take a stab at it using the
"dplyr" package
library(dplyr)
DT %>%
group_by(month, id, note) %>%
summarise(avg = mean(total))
Jim Holtman
Data Munger Guru
What is the problem that you are trying to solve?
Tell me what you want to do, not how you want to do it.
On Sat, Nov 26, 2016 at 11:11 AM, lily li <chocold12 at gmail.com> wrote:
> Hi R users,
>
> I'm trying to manipulate a dataframe and have some difficulties.
>
> The original dataset is like this:
>
> DF
> year month total id note
> 2000 1 98 GA 1
> 2001 1 100 GA 1
> 2002 2 99 GA 1
> 2002 2 80 GB 1
> ...
> 2012 1 78 GA 2
> ...
>
> The structure is like this: when year is between 2000-2005, note is 1; when
> year is between 2006-2010, note is 2; GA, GB, etc represent different
> groups, but they all have years 2000-2005, 2006-2010, 2011-2015.
> I want to calculate one average value for each month in each time slice.
> For example, between 2000-2005, when note is 1, for GA, there is one value
> in month 1, one value in month 2, etc; for GB, there is one value in month
> 1, one value in month 2, between this time period. So later, there is no
> 'year' column, but other columns.
> I tried the script: DF_GA = aggregate(total~year+month,data=subset(DF,
> id==GA¬e==1)), but it did not give me the ideal dataframe. How to do
> then?
> Thanks for your help.
>
> [[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]]
Thanks Jim, this method is very convenient and is what I want. Could I know how to save the resulted dataframe? It printed in the console directly. On Sat, Nov 26, 2016 at 5:55 PM, jim holtman <jholtman at gmail.com> wrote:> You did not provide any data, but I will take a stab at it using the > "dplyr" package > > library(dplyr) > DT %>% > group_by(month, id, note) %>% > summarise(avg = mean(total)) > > > > Jim Holtman > Data Munger Guru > > What is the problem that you are trying to solve? > Tell me what you want to do, not how you want to do it. > > On Sat, Nov 26, 2016 at 11:11 AM, lily li <chocold12 at gmail.com> wrote: > >> Hi R users, >> >> I'm trying to manipulate a dataframe and have some difficulties. >> >> The original dataset is like this: >> >> DF >> year month total id note >> 2000 1 98 GA 1 >> 2001 1 100 GA 1 >> 2002 2 99 GA 1 >> 2002 2 80 GB 1 >> ... >> 2012 1 78 GA 2 >> ... >> >> The structure is like this: when year is between 2000-2005, note is 1; >> when >> year is between 2006-2010, note is 2; GA, GB, etc represent different >> groups, but they all have years 2000-2005, 2006-2010, 2011-2015. >> I want to calculate one average value for each month in each time slice. >> For example, between 2000-2005, when note is 1, for GA, there is one value >> in month 1, one value in month 2, etc; for GB, there is one value in month >> 1, one value in month 2, between this time period. So later, there is no >> 'year' column, but other columns. >> I tried the script: DF_GA = aggregate(total~year+month,data=subset(DF, >> id==GA¬e==1)), but it did not give me the ideal dataframe. How to do >> then? >> Thanks for your help. >> >> [[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/posti >> ng-guide.html >> and provide commented, minimal, self-contained, reproducible code. >> > >[[alternative HTML version deleted]]