[R] Is it possible to create highly customized report in *.xls format by using R/S+?

[Wensui Liu]

Thank you all for the replies. It is very eye-opening for me.

I probably need something like RDCOMClient. I've tried it last night.
Very nice package!!!

On 7/20/05, Gabor Grothendieck <ggrothendieck at gmail.com> wrote:
> Here is an example where R is the client and Excel is the server
> so that R is issuing commands to Excel.  This example uses the
> RDCOMClient package from www.omegahat.org:
> 
>         library(RDCOMClient)
>         xl <- COMCreate("Excel.Application")  # starts up Excel
>         xl[["Visible"]] <- TRUE                       # Excel becomes visible
>         wkbk <- xl$Workbooks()$Add()          # new workbook
> 
>         # set some cells
> 
>         sh <- xl$ActiveSheet()
> 
>         x12 <- sh$Cells(1,2)
>         x12[["Value"]] <- 123
> 
>         x22 <- sh$Cells(2,2)
>         x22[["Value"]] <- 100
> 
>         x31 <- sh$Cells(3,1)
>         x31[["Value"]] <- "Total"
> 
>         B3R <- sh$Range("B3")
>         B3R[["Formula"]] <- "=Sum(R1C2:R2C2)"
>         B3R[["NumberFormat"]] <- "_($* #,##0.00_)"
>         B3RF <- B3R$Font()
>         B3RF[["Bold"]] <- TRUE
> 
> 
>         # save and exit
>         wkbk$SaveAs("\\test.xls")
>         xl$Quit()
> 
> Code using the rcom package at (second link is mailing list):
> 
>         http://sunsite.univie.ac.at/rcom/download/
>         http://mailman.csd.univie.ac.at/pipermail/rcom-l/
> 
> would be nearly identical once the upcoming version of rcom comes out.
> rcom and omegahat both provide the possibility of having
> Excel as the client and R as the server; however, in that setup the
> user would have to have R running whereas in the above setup only you do.
> 
> On 7/20/05, Wensui Liu <liuwensui at gmail.com> wrote:
> > I appreciate your reply and understand your point completely. But at
> > times we can't change the rule, the only choice is to follow the rule.
> > Most deliverables in my work are in excel format.
> >
> > On 7/20/05, Greg Snow <greg.snow at ihc.com> wrote:
> > > See:
> > >
> > > http://www.burns-stat.com/pages/Tutor/spreadsheet_addiction.html
> > > and
> > > http://www.stat.uiowa.edu/~jcryer/JSMTalk2001.pdf
> > >
> > > Greg Snow, Ph.D.
> > > Statistical Data Center, LDS Hospital
> > > Intermountain Health Care
> > > greg.snow at ihc.com
> > > (801) 408-8111
> > >
> > > >>> Wensui Liu <liuwensui at gmail.com> 07/19/05 03:22PM >>>
> > > I remember in one slide of Prof. Ripley's presentation overhead, he
> > > said the most popular data analysis software is excel.
> > >
> > > So is there any resource or tutorial on this topic?
> > >
> > > Thank you so much!
> 


-- 
WenSui Liu, MS MA
Senior Decision Support Analyst
Division of Health Policy and Clinical Effectiveness
Cincinnati Children Hospital Medical Center