Dimitri Liakhovitski
2015-Jun-16 17:56 UTC
[R] dplyr - counting a number of specific values in each column - for all columns at once
Thank you, Bert. I'll be honest - I am just learning dplyr and was wondering if one could do it in dplyr. But of course your solution is perfect... On Tue, Jun 16, 2015 at 1:50 PM, Bert Gunter <bgunter.4567 at gmail.com> wrote:> Well, dplyr seems a bit of overkill as it's so simple with plain old > vapply() in base R : > > >> dat <- data.frame (a=sample(1:5,10,rep=TRUE), > + b=sample(3:7,10,rep=TRUE), > + g = sample(7:9,10,rep=TRUE)) > >> vapply(dat,function(x)sum(x==5,na.rm=TRUE),1L) > > a b g > 5 4 0 > > > > Cheers, > Bert > > Bert Gunter > > "Data is not information. Information is not knowledge. And knowledge is > certainly not wisdom." > -- Clifford Stoll > > On Tue, Jun 16, 2015 at 10:24 AM, Dimitri Liakhovitski > <dimitri.liakhovitski at gmail.com> wrote: >> >> Hello! >> >> I have a data frame: >> >> md <- data.frame(a = c(3,5,4,5,3,5), b = c(5,5,5,4,4,1), c >> c(1,3,4,3,5,5), >> device = c(1,1,2,2,3,3)) >> myvars = c("a", "b", "c") >> md[2,3] <- NA >> md[4,1] <- NA >> md >> >> I want to count number of 5s in each column - by device. I can do it like >> this: >> >> library(dplyr) >> group_by(md, device) %>% >> summarise(counts.a = sum(a==5, na.rm = T), >> counts.b = sum(b==5, na.rm = T), >> counts.c = sum(c==5, na.rm = T)) >> >> However, in real life I'll have tons of variables (the length of >> 'myvars' can be very large) - so that I can't specify those counts.a, >> counts.b, etc. manually - dozens of times. >> >> Does dplyr allow to run the count of 5s on all 'myvars' columns at once? >> >> >> -- >> Dimitri Liakhovitski >> >> ______________________________________________ >> 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. > >-- Dimitri Liakhovitski
Dimitri Liakhovitski
2015-Jun-16 17:58 UTC
[R] dplyr - counting a number of specific values in each column - for all columns at once
Except, of course, Bert, that you forgot that it had to be done by
device. Your solution ignores the device.
md <- data.frame(a = c(3,5,4,5,3,5), b = c(5,5,5,4,4,1), c = c(1,3,4,3,5,5),
device = c(1,1,2,2,3,3))
myvars = c("a", "b", "c")
md[2,3] <- NA
md[4,1] <- NA
md
vapply(md[myvars], function(x) sum(x==5,na.rm=TRUE),1L)
But the result should be by device.
On Tue, Jun 16, 2015 at 1:56 PM, Dimitri Liakhovitski
<dimitri.liakhovitski at gmail.com> wrote:> Thank you, Bert.
> I'll be honest - I am just learning dplyr and was wondering if one
> could do it in dplyr.
> But of course your solution is perfect...
>
> On Tue, Jun 16, 2015 at 1:50 PM, Bert Gunter <bgunter.4567 at
gmail.com> wrote:
>> Well, dplyr seems a bit of overkill as it's so simple with plain
old
>> vapply() in base R :
>>
>>
>>> dat <- data.frame (a=sample(1:5,10,rep=TRUE),
>> + b=sample(3:7,10,rep=TRUE),
>> + g = sample(7:9,10,rep=TRUE))
>>
>>> vapply(dat,function(x)sum(x==5,na.rm=TRUE),1L)
>>
>> a b g
>> 5 4 0
>>
>>
>>
>> Cheers,
>> Bert
>>
>> Bert Gunter
>>
>> "Data is not information. Information is not knowledge. And
knowledge is
>> certainly not wisdom."
>> -- Clifford Stoll
>>
>> On Tue, Jun 16, 2015 at 10:24 AM, Dimitri Liakhovitski
>> <dimitri.liakhovitski at gmail.com> wrote:
>>>
>>> Hello!
>>>
>>> I have a data frame:
>>>
>>> md <- data.frame(a = c(3,5,4,5,3,5), b = c(5,5,5,4,4,1), c
>>> c(1,3,4,3,5,5),
>>> device = c(1,1,2,2,3,3))
>>> myvars = c("a", "b", "c")
>>> md[2,3] <- NA
>>> md[4,1] <- NA
>>> md
>>>
>>> I want to count number of 5s in each column - by device. I can do
it like
>>> this:
>>>
>>> library(dplyr)
>>> group_by(md, device) %>%
>>> summarise(counts.a = sum(a==5, na.rm = T),
>>> counts.b = sum(b==5, na.rm = T),
>>> counts.c = sum(c==5, na.rm = T))
>>>
>>> However, in real life I'll have tons of variables (the length
of
>>> 'myvars' can be very large) - so that I can't specify
those counts.a,
>>> counts.b, etc. manually - dozens of times.
>>>
>>> Does dplyr allow to run the count of 5s on all 'myvars'
columns at once?
>>>
>>>
>>> --
>>> Dimitri Liakhovitski
>>>
>>> ______________________________________________
>>> 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.
>>
>>
>
>
>
> --
> Dimitri Liakhovitski
--
Dimitri Liakhovitski
Clint Bowman
2015-Jun-16 18:06 UTC
[R] dplyr - counting a number of specific values in each column - for all columns at once
May want to add headers but the following provides the device number with
each set fo sums:
for (dev in (unique(md$device)))
{cat(colSums(subset(md,md$device==dev)==5,na.rm=T),dev,"\n")}
Clint Bowman INTERNET: clint at ecy.wa.gov
Air Quality Modeler INTERNET: clint at math.utah.edu
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PO Box 47600 FAX: (360) 407-7534
Olympia, WA 98504-7600
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Parcels: 300 Desmond Drive, Lacey, WA 98503-1274
On Tue, 16 Jun 2015, Dimitri Liakhovitski wrote:
> Except, of course, Bert, that you forgot that it had to be done by
> device. Your solution ignores the device.
>
> md <- data.frame(a = c(3,5,4,5,3,5), b = c(5,5,5,4,4,1), c =
c(1,3,4,3,5,5),
> device = c(1,1,2,2,3,3))
> myvars = c("a", "b", "c")
> md[2,3] <- NA
> md[4,1] <- NA
> md
> vapply(md[myvars], function(x) sum(x==5,na.rm=TRUE),1L)
>
> But the result should be by device.
>
> On Tue, Jun 16, 2015 at 1:56 PM, Dimitri Liakhovitski
> <dimitri.liakhovitski at gmail.com> wrote:
>> Thank you, Bert.
>> I'll be honest - I am just learning dplyr and was wondering if one
>> could do it in dplyr.
>> But of course your solution is perfect...
>>
>> On Tue, Jun 16, 2015 at 1:50 PM, Bert Gunter <bgunter.4567 at
gmail.com> wrote:
>>> Well, dplyr seems a bit of overkill as it's so simple with
plain old
>>> vapply() in base R :
>>>
>>>
>>>> dat <- data.frame (a=sample(1:5,10,rep=TRUE),
>>> + b=sample(3:7,10,rep=TRUE),
>>> + g = sample(7:9,10,rep=TRUE))
>>>
>>>> vapply(dat,function(x)sum(x==5,na.rm=TRUE),1L)
>>>
>>> a b g
>>> 5 4 0
>>>
>>>
>>>
>>> Cheers,
>>> Bert
>>>
>>> Bert Gunter
>>>
>>> "Data is not information. Information is not knowledge. And
knowledge is
>>> certainly not wisdom."
>>> -- Clifford Stoll
>>>
>>> On Tue, Jun 16, 2015 at 10:24 AM, Dimitri Liakhovitski
>>> <dimitri.liakhovitski at gmail.com> wrote:
>>>>
>>>> Hello!
>>>>
>>>> I have a data frame:
>>>>
>>>> md <- data.frame(a = c(3,5,4,5,3,5), b = c(5,5,5,4,4,1), c
>>>> c(1,3,4,3,5,5),
>>>> device = c(1,1,2,2,3,3))
>>>> myvars = c("a", "b", "c")
>>>> md[2,3] <- NA
>>>> md[4,1] <- NA
>>>> md
>>>>
>>>> I want to count number of 5s in each column - by device. I can
do it like
>>>> this:
>>>>
>>>> library(dplyr)
>>>> group_by(md, device) %>%
>>>> summarise(counts.a = sum(a==5, na.rm = T),
>>>> counts.b = sum(b==5, na.rm = T),
>>>> counts.c = sum(c==5, na.rm = T))
>>>>
>>>> However, in real life I'll have tons of variables (the
length of
>>>> 'myvars' can be very large) - so that I can't
specify those counts.a,
>>>> counts.b, etc. manually - dozens of times.
>>>>
>>>> Does dplyr allow to run the count of 5s on all 'myvars'
columns at once?
>>>>
>>>>
>>>> --
>>>> Dimitri Liakhovitski
>>>>
>>>> ______________________________________________
>>>> 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.
>>>
>>>
>>
>>
>>
>> --
>> Dimitri Liakhovitski
>
>
>
> --
> Dimitri Liakhovitski
>
> ______________________________________________
> 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.
>