Displaying 16 results from an estimated 16 matches for "groupcolumn".
2016 Apr 19
0
Interquartile Range
...t didn't work Jim!
It always helps to say how the suggestion did not work. Jim's
function had a typo in it - was that the problem? Or did you not
change the call to ddply to use that function. Here is something
that might "work" for you:
library(plyr)
data <- data.frame(groupColumn=rep(1:5,1:5), col1=2^(0:14))
myIqr <- function(x) {
paste(round(quantile(x,0.25),0),round(quantile(x,0.75),0),sep="-")
}
ddply(data, ~groupColumn, summarise, col1_myIqr=myIqr(col1),
col1_IQR=stats::IQR(col1))
# groupColumn col1_myIqr col1_IQR
#1 1 1-1...
2016 Apr 19
5
Interquartile Range
..., Michael Artz <michaeleartz at gmail.com>
> wrote:
> > Hi,
> > I am trying to show an interquartile range while grouping values using
> > the function ddply(). So my function call now is like
> >
> > groupedAll <- ddply(data
> > ,~groupColumn
> > ,summarise
> > ,col1_mean=mean(col1)
> > ,col2_mode=Mode(col2) #Function I wrote for getting the
> > mode shown below
> >
> > ,col3_Range=paste(as.character(round(quantile(datat$tenure,c(.25)))),
> > a...
2016 Apr 19
1
Interquartile Range
...helps to say how the suggestion did not work. Jim's
> function had a typo in it - was that the problem? Or did you not
> change the call to ddply to use that function. Here is something
> that might "work" for you:
>
> library(plyr)
>
> data <- data.frame(groupColumn=rep(1:5,1:5), col1=2^(0:14))
> myIqr <- function(x) {
> paste(round(quantile(x,0.25),0),round(quantile(x,0.75),0),sep="-")
> }
> ddply(data, ~groupColumn, summarise, col1_myIqr=myIqr(col1),
> col1_IQR=stats::IQR(col1))
> # groupColumn col1_myIqr col1_IQR
>...
2016 Apr 19
2
Interquartile Range
...e problem? Or did you not
>> >>> change the call to ddply to use that function. Here is something
>> >>> that might "work" for you:
>> >>>
>> >>> library(plyr)
>> >>>
>> >>> data <- data.frame(groupColumn=rep(1:5,1:5), col1=2^(0:14))
>> >>> myIqr <- function(x) {
>> >>>
>> paste(round(quantile(x,0.25),0),round(quantile(x,0.75),0),sep="-")
>> >>> }
>> >>> ddply(data, ~groupColumn, summarise, col1_myIqr=myIqr(col1),
>...
2016 Apr 19
2
Interquartile Range
...helps to say how the suggestion did not work. Jim's
> function had a typo in it - was that the problem? Or did you not
> change the call to ddply to use that function. Here is something
> that might "work" for you:
>
> library(plyr)
>
> data <- data.frame(groupColumn=rep(1:5,1:5), col1=2^(0:14))
> myIqr <- function(x) {
> paste(round(quantile(x,0.25),0),round(quantile(x,0.75),0),sep="-")
> }
> ddply(data, ~groupColumn, summarise, col1_myIqr=myIqr(col1),
> col1_IQR=stats::IQR(col1))
> # groupColumn col1_myIqr col1_IQR
>...
2016 Apr 19
0
Interquartile Range
Hi,
Here is what I am doing
notGroupedAll <- ddply(data
,~groupColumn
,summarise
,col1_mean=mean(col1)
,col2_mode=Mode(col2) #Function I wrote for getting the
mode shown below
,col3_Range=myIqr(col3)
)
groupedAll <- ddply(data
,~groupColumn
,summ...
2016 Apr 20
2
Interquartile Range
...icking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Tue, Apr 19, 2016 at 4:25 PM, Michael Artz <michaeleartz at gmail.com> wrote:
> Hi,
> Here is what I am doing
>
> notGroupedAll <- ddply(data
> ,~groupColumn
> ,summarise
> ,col1_mean=mean(col1)
> ,col2_mode=Mode(col2) #Function I wrote for getting the
> mode shown below
> ,col3_Range=myIqr(col3)
> )
>
> groupedAll <- ddply(data
>...
2016 Apr 19
2
Interquartile Range
...s
>>> function had a typo in it - was that the problem? Or did you not
>>> change the call to ddply to use that function. Here is something
>>> that might "work" for you:
>>>
>>> library(plyr)
>>>
>>> data <- data.frame(groupColumn=rep(1:5,1:5), col1=2^(0:14))
>>> myIqr <- function(x) {
>>> paste(round(quantile(x,0.25),0),round(quantile(x,0.75),0),sep="-")
>>> }
>>> ddply(data, ~groupColumn, summarise, col1_myIqr=myIqr(col1),
>>> col1_IQR=stats::IQR(col1))
>...
2016 Apr 19
0
Interquartile Range
...tion did not work. Jim's
>> function had a typo in it - was that the problem? Or did you not
>> change the call to ddply to use that function. Here is something
>> that might "work" for you:
>>
>> library(plyr)
>>
>> data <- data.frame(groupColumn=rep(1:5,1:5), col1=2^(0:14))
>> myIqr <- function(x) {
>> paste(round(quantile(x,0.25),0),round(quantile(x,0.75),0),sep="-")
>> }
>> ddply(data, ~groupColumn, summarise, col1_myIqr=myIqr(col1),
>> col1_IQR=stats::IQR(col1))
>> # groupColumn...
2016 Apr 20
0
Interquartile Range
...us (aka Berkeley Breathed in his "Bloom County" comic strip )
>
>
> On Tue, Apr 19, 2016 at 4:25 PM, Michael Artz <michaeleartz at gmail.com> wrote:
>> Hi,
>> Here is what I am doing
>>
>> notGroupedAll <- ddply(data
>> ,~groupColumn
>> ,summarise
>> ,col1_mean=mean(col1)
>> ,col2_mode=Mode(col2) #Function I wrote for getting the
>> mode shown below
>> ,col3_Range=myIqr(col3)
>> )
>>
>> groupedAll <...
2016 Apr 20
2
Interquartile Range
...om County" comic strip )
> >
> >
> > On Tue, Apr 19, 2016 at 4:25 PM, Michael Artz <michaeleartz at gmail.com>
> wrote:
> >> Hi,
> >> Here is what I am doing
> >>
> >> notGroupedAll <- ddply(data
> >> ,~groupColumn
> >> ,summarise
> >> ,col1_mean=mean(col1)
> >> ,col2_mode=Mode(col2) #Function I wrote for getting the
> >> mode shown below
> >> ,col3_Range=myIqr(col3)
> >> )
>...
2016 Apr 19
0
Interquartile Range
...typo in it - was that the problem? Or did you not
> >>> change the call to ddply to use that function. Here is something
> >>> that might "work" for you:
> >>>
> >>> library(plyr)
> >>>
> >>> data <- data.frame(groupColumn=rep(1:5,1:5), col1=2^(0:14))
> >>> myIqr <- function(x) {
> >>> paste(round(quantile(x,0.25),0),round(quantile(x,0.75),0),sep="-")
> >>> }
> >>> ddply(data, ~groupColumn, summarise, col1_myIqr=myIqr(col1),
> >>> col1_I...
2016 Apr 20
0
Interquartile Range
...t;
>> >
>> > On Tue, Apr 19, 2016 at 4:25 PM, Michael Artz <michaeleartz at gmail.com>
>> > wrote:
>> >> Hi,
>> >> Here is what I am doing
>> >>
>> >> notGroupedAll <- ddply(data
>> >> ,~groupColumn
>> >> ,summarise
>> >> ,col1_mean=mean(col1)
>> >> ,col2_mode=Mode(col2) #Function I wrote for getting the
>> >> mode shown below
>> >> ,col3_Range=myIqr(col3)
>> >&g...
2016 Apr 19
2
Interquartile Range
Hi,
I am trying to show an interquartile range while grouping values using
the function ddply(). So my function call now is like
groupedAll <- ddply(data
,~groupColumn
,summarise
,col1_mean=mean(col1)
,col2_mode=Mode(col2) #Function I wrote for getting the
mode shown below
,col3_Range=paste(as.character(round(quantile(datat$tenure,c(.25)))),
as.character(round(quantile(data$tenure,c(.75)))), sep = "-"...
2016 Apr 19
0
Interquartile Range
...On Tue, Apr 19, 2016 at 11:15 AM, Michael Artz <michaeleartz at gmail.com> wrote:
> Hi,
> I am trying to show an interquartile range while grouping values using
> the function ddply(). So my function call now is like
>
> groupedAll <- ddply(data
> ,~groupColumn
> ,summarise
> ,col1_mean=mean(col1)
> ,col2_mode=Mode(col2) #Function I wrote for getting the
> mode shown below
>
> ,col3_Range=paste(as.character(round(quantile(datat$tenure,c(.25)))),
> as.character(round(quantile(data$ten...
2016 Apr 19
0
Interquartile Range
...rtz at gmail.com>
>> wrote:
>> > Hi,
>> > I am trying to show an interquartile range while grouping values using
>> > the function ddply(). So my function call now is like
>> >
>> > groupedAll <- ddply(data
>> > ,~groupColumn
>> > ,summarise
>> > ,col1_mean=mean(col1)
>> > ,col2_mode=Mode(col2) #Function I wrote for getting the
>> > mode shown below
>> >
>> > ,col3_Range=paste(as.character(round(quantile(datat$tenur...