Displaying 16 results from an estimated 16 matches for "col2_mode".
Did you mean:
celt_mode
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 = "-")
)
#custom Mode function
Mode <- function(x) {
ux <- unique(x)
ux[...
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
,summarise
,col1_mean=mean(col1)
,col2_mode=Mode(col2) #Function I...
2016 Apr 20
2
Interquartile Range
...ue, 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
> ,~groupColumn
> ,summarise
> ,col1_mean=mean(col1)
>...
2016 Apr 19
2
Interquartile Range
...; > > 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$tenure,c(.25)))),
>> >&g...
2016 Apr 19
5
Interquartile Range
...ge while grouping values using
> > the function ddply(). So my function call now is like
> >
> > groupedAll <- ddply(data
> > ,~groupColumn
> > ,summarise
> > ,col1_mean=mean(col1)
> > ,col2_mode=Mode(col2) #Function I wrote for getting the
> > mode shown below
> >
> > ,col3_Range=paste(as.character(round(quantile(datat$tenure,c(.25)))),
> > as.character(round(quantile(data$tenure,c(.75)))), sep = "-")
> > )
> >
> > #cust...
2016 Apr 20
0
Interquartile Range
...Michael Artz <michaeleartz at gmail.com> wrote:
>> Hi,
>> Here is what I am doing
>>
>> notGroupedAll <- ddply(data
>> ,~groupColumn
>> ,summarise
>> ,col1_mean=mean(col1)
>> ,col2_mode=Mode(col2) #Function I wrote for getting the
>> mode shown below
>> ,col3_Range=myIqr(col3)
>> )
>>
>> groupedAll <- ddply(data
>> ,~groupColumn
>> ,summarise
>> ,col1...
2016 Apr 20
2
Interquartile Range
...gt;
> wrote:
> >> Hi,
> >> Here is what I am doing
> >>
> >> notGroupedAll <- ddply(data
> >> ,~groupColumn
> >> ,summarise
> >> ,col1_mean=mean(col1)
> >> ,col2_mode=Mode(col2) #Function I wrote for getting the
> >> mode shown below
> >> ,col3_Range=myIqr(col3)
> >> )
> >>
> >> groupedAll <- ddply(data
> >> ,~groupColumn
> >> ,summar...
2016 Apr 19
0
Interquartile Range
...trying to show an interquartile range while grouping values using
> the function ddply(). So my function call now is like
>
> groupedAll <- ddply(data
> ,~groupColumn
> ,summarise
> ,col1_mean=mean(col1)
> ,col2_mode=Mode(col2) #Function I wrote for getting the
> mode shown below
>
> ,col3_Range=paste(as.character(round(quantile(datat$tenure,c(.25)))),
> as.character(round(quantile(data$tenure,c(.75)))), sep = "-")
> )
>
> #custom Mode function
> Mode <- fu...
2016 Apr 20
0
Interquartile Range
...; Hi,
>> >> Here is what I am doing
>> >>
>> >> notGroupedAll <- ddply(data
>> >> ,~groupColumn
>> >> ,summarise
>> >> ,col1_mean=mean(col1)
>> >> ,col2_mode=Mode(col2) #Function I wrote for getting the
>> >> mode shown below
>> >> ,col3_Range=myIqr(col3)
>> >> )
>> >>
>> >> groupedAll <- ddply(data
>> >> ,~groupColumn
>> >...
2016 Apr 19
0
Interquartile Range
...> > the function ddply(). So my function call now is like
> > >
> > > groupedAll <- ddply(data
> > > ,~groupColumn
> > > ,summarise
> > > ,col1_mean=mean(col1)
> > > ,col2_mode=Mode(col2) #Function I wrote for getting
> the
> > > mode shown below
> > >
> > > ,col3_Range=paste(as.character(round(quantile(datat$tenure,c(.25)))),
> > > as.character(round(quantile(data$tenure,c(.75)))), sep = "-")
> > >...
2016 Apr 19
0
Interquartile Range
...ng
>> > the function ddply(). So my function call now is like
>> >
>> > groupedAll <- ddply(data
>> > ,~groupColumn
>> > ,summarise
>> > ,col1_mean=mean(col1)
>> > ,col2_mode=Mode(col2) #Function I wrote for getting the
>> > mode shown below
>> >
>> > ,col3_Range=paste(as.character(round(quantile(datat$tenure,c(.25)))),
>> > as.character(round(quantile(data$tenure,c(.75)))), sep = "-")
>> > )
>&...
2016 Apr 19
1
Interquartile Range
...ddply(). So my function call now is like
>> > >
>> > > groupedAll <- ddply(data
>> > > ,~groupColumn
>> > > ,summarise
>> > > ,col1_mean=mean(col1)
>> > > ,col2_mode=Mode(col2) #Function I wrote for getting
>> the
>> > > mode shown below
>> > >
>> > > ,col3_Range=paste(as.character(round(quantile(datat$tenure,c(.25)))),
>> > > as.character(round(quantile(data$tenure,c(.75)))), sep = "-")
>>...
2016 Apr 19
2
Interquartile Range
...ddply(). So my function call now is like
>> > >
>> > > groupedAll <- ddply(data
>> > > ,~groupColumn
>> > > ,summarise
>> > > ,col1_mean=mean(col1)
>> > > ,col2_mode=Mode(col2) #Function I wrote for getting
>> the
>> > > mode shown below
>> > >
>> > > ,col3_Range=paste(as.character(round(quantile(datat$tenure,c(.25)))),
>> > > as.character(round(quantile(data$tenure,c(.75)))), sep = "-")
>>...
2016 Apr 19
2
Interquartile Range
...t;>> > >
>>>> > > groupedAll <- ddply(data
>>>> > > ,~groupColumn
>>>> > > ,summarise
>>>> > > ,col1_mean=mean(col1)
>>>> > > ,col2_mode=Mode(col2) #Function I wrote for getting
>>>> the
>>>> > > mode shown below
>>>> > >
>>>> > > ,col3_Range=paste(as.character(round(quantile(datat$tenure,c(.25)))),
>>>> > > as.character(round(quantile(data$tenure,c...
2016 Apr 19
0
Interquartile Range
...call now is like
>>> > >
>>> > > groupedAll <- ddply(data
>>> > > ,~groupColumn
>>> > > ,summarise
>>> > > ,col1_mean=mean(col1)
>>> > > ,col2_mode=Mode(col2) #Function I wrote for getting
>>> the
>>> > > mode shown below
>>> > >
>>> > > ,col3_Range=paste(as.character(round(quantile(datat$tenure,c(.25)))),
>>> > > as.character(round(quantile(data$tenure,c(.75)))), sep = &quo...
2016 Apr 19
0
Interquartile Range
...>>>> > > groupedAll <- ddply(data
> >>>> > > ,~groupColumn
> >>>> > > ,summarise
> >>>> > > ,col1_mean=mean(col1)
> >>>> > > ,col2_mode=Mode(col2) #Function I wrote for
> getting
> >>>> the
> >>>> > > mode shown below
> >>>> > >
> >>>> > >
> ,col3_Range=paste(as.character(round(quantile(datat$tenure,c(.25)))),
> >>>> > > as.char...