Displaying 16 results from an estimated 16 matches for "col1_mean".
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 <- f...
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)...
2016 Apr 20
2
Interquartile Range
...quot;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
> ,~groupColumn
> ,summarise
>...
2016 Apr 19
2
Interquartile Range
...ll 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_Rang...
2016 Apr 19
5
Interquartile Range
...; > 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 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)
>> )
>>
>> groupedAll <- ddply(data
>> ,~groupColumn
>>...
2016 Apr 20
2
Interquartile Range
...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
0
Interquartile Range
...t 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$tenure,c(.25)))),
> as.character(round(quantile(data$tenure,c(.75)))), sep = "-")
> )
>
&...
2016 Apr 20
0
Interquartile Range
...z 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
0
Interquartile Range
...erquartile 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))...
2016 Apr 19
0
Interquartile Range
...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
1
Interquartile Range
...ing 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$tenure,c(.25)))),
>> > > as.character(round(quan...
2016 Apr 19
2
Interquartile Range
...ing values
>> using
>> > > the function ddply(). So my function call now is like
>> > >
>> > > groupedAll <- ddply(data
>> > > ,~groupColumn
>> > > ,summarise
>> > > ,col1_mean=mean(col1)
>> > > ,col2_mode=Mode(col2) #Function I wrote for getting
>> the
>> > > mode shown below
>> > >
>> > > ,col3_Range=paste(as.character(round(quantile(datat$tenure,c(.25)))),
>> > > as.character(round(quan...
2016 Apr 19
2
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$tenure,c(.25)))),
&g...
2016 Apr 19
0
Interquartile Range
...g
>>> > > the function ddply(). So my function call now is like
>>> > >
>>> > > groupedAll <- ddply(data
>>> > > ,~groupColumn
>>> > > ,summarise
>>> > > ,col1_mean=mean(col1)
>>> > > ,col2_mode=Mode(col2) #Function I wrote for getting
>>> the
>>> > > mode shown below
>>> > >
>>> > > ,col3_Range=paste(as.character(round(quantile(datat$tenure,c(.25)))),
>>> > >...
2016 Apr 19
0
Interquartile Range
.... 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(q...