We did not push you to use RExcel ;-)
You decided on your own.
If you should use it depends on what you want.
If you want the results of R computations in Excel,
and you want numbers to live in separate cells,
then you should probably use it.
With our copy and paste you get lines of text,
not numbers in cells.
RExcel has 5 demo workbooks showing what you can do.
They are available from the RExcel menu.
Have a look at these. They will show you what you can accomplish
with the connection mechanism.
On Oct 6, 2008, at 2:20 PM, D'Antuono, Mario wrote:
Many thanks to Richard Heiberger for his many comments and
suggestions as well as Erich Neuwirth for their advice.I appreciate
your time and effort in replying to my queries.
But I feel really confused as to why I would want to use REXCEL if I
can just copy and paste my simple lines into the R console and get
what I want?
ie this is the output from R console which I want ...
eg1 <- read.csv('eg1.csv',header=TRUE)
aov1 <- aov(yield~ factor(Treatment)+factor(Block),data=eg1)
anova(aov1)
Analysis of Variance Table
Response: yield
Df Sum Sq Mean Sq F value Pr(>F)
factor(Treatment) 3 10.7358 3.5786 112.026 1.173e-05 ***
factor(Block) 2 1.7150 0.8575 26.843 0.001016 **
Residuals 6 0.1917 0.0319
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Sorry for bieng so obstinate but I do not want to be an Excel VBA
expert. I just would like to have a facility for my colleagues to
run my few lines via RExcel with just the above output in 1 pass
(not 2 or more?)? Is it really that hard to have a switch in RExcel
to give me the above output?
Also Richard, I see that the Venables and Smith Introduction to R
suggests an equal sign = (which i find easier to explain to non-
statisticians who are used to Excel) should work and gives the same
output as using the assign characters ( <- ). Looks easier to read
too and type. Have I got it wrong?
The longer output from Get R output is which is too long especially
if i had hundreds of records in my data file
eg1 <- read.csv('eg1.csv',header=TRUE)
plot Block Treatment yield
1 1 1 D 4.6
2 2 1 A 7.3
3 3 1 C 5.5
4 4 1 B 6.3
5 5 2 A 6.6
6 6 2 C 5.4
7 7 2 D 4.1
8 8 2 B 5.9
9 9 3 B 5.6
10 10 3 D 3.5
11 11 3 C 4.9
12 12 3 A 6.0
aov1 <- aov(yield~ factor(Treatment)+factor(Block),data=eg1)
Call:
aov(formula = yield ~ factor(Treatment) + factor(Block), data =
eg1)
Terms:
factor(Treatment) factor(Block) Residuals
Sum of Squares 10.735833 1.715000 0.191667
Deg. of Freedom 3 2 6
Residual standard error: 0.1787301
Estimated effects may be unbalanced
anova(aov1)
Analysis of Variance Table
Response: yield
Df Sum Sq Mean Sq F value Pr(>F)
factor(Treatment) 3 10.7358 3.5786 112.026 1.173e-05 ***
factor(Block) 2 1.7150 0.8575 26.843 0.001016 **
Residuals 6 0.1917 0.0319
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Sorry for being so confused but is there any hope for me with RExcel
to get what I want? It should be so easy I thought?
M.
Mario D'Antuono
Biometrics Unit
Department of Agriculture and Food
Government of Western Australia
------------------------------------------------
Address: 3 Baron-Hay Court, South Perth WA 6151
Postal: Locked Bag 4, Bentley Delivery Centre WA 6983
Telephone: (08) 9368 3848 International +61+8+9368 3848
Fax (08) 9368 2958
Mobile: 0400 576 764
http://www.agric.wa.gov.au/biometrics
________________________________
From: [EMAIL PROTECTED] on behalf of Richard
M. Heiberger
Sent: Sun 05-Oct-08 12:28 PM
To: R(D)COM and RExcel server related issues
Subject: RE: [Rcom-l] Installing RExcel on a windowsmachine
withExcel 2002(sp3)
I figured out what Mario DAntuono did to get the behavior he is
reporting.
The technical answer is that the right-click 'Run R' command
eventually
runs the macro RMenuMacros.SendCommands which includes the line
cmdString =
"putRExcel("".rexcel.last.output"",capture.output(print(try({" & _
cmdString & "},silent=TRUE))))"
The print() function in that statement is giving the output that
isn't wanted.
I think the solution is to use two different 'Run R' commands
instead of only one. In your example, I would use one 'Run R'
command for the two lines
setwd('C:/RxM/Examples/Roo')
eg1 = read.csv('eg1.csv',header=TRUE)
and a separate 'Run R' for the line
tmp.aov <- aov(A ~ C, data=tmp)
The 'Get R Output' would show only the printout from the
most recent 'Run R'.
Now, to duplicate the situation, we need 7 steps:
1. Create a file in your home directory, for example,
tmp.csv, containing 5 lines
A,B,C
1,2,a
4,5,b
7,8,c
10,11,d
2. In Excel, enter the three lines in cells A1:A3
getwd()
tmp <- read.csv("tmp.csv")
tmp.aov <- aov(A ~ C, data=tmp)
3. Highlight A1:A3 and right-click 'Run R'
4. right-click 'Get R Output' to
see the complete transcript of the three lines that were input
to the 'Run R' statement, including
the output from the two assignments that were wrapped in
the print() statement by the macro. The output from the
second line is the output that is not wanted.
5. Highlight A1:A2 and right-click 'Run R'
6. Highlight A3 and right-click 'Run R'
7. right-click 'Get R Output' to
see the transcript from running the the one line in cell A3
that was run in the 'Run R' statement.
This is the output that is wanted.
Please note that I used " <- ", an assignment arrow surrounded
by spaces, for the assignments. This is strongly preferred by
most R programmers over the "=" sign.
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--
Erich Neuwirth
Didactic Center for Computer Science and Institute for Scientific
Computing
University of Vienna
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