On 03/26/2010 02:58 PM, Steve Powell wrote:
For psychologists like me (possibly for others) by far the most
time-consuming detail is variable labels. I need them for just about
every analysis I do. We can use special packages like Hmisc and its
function spss.get to import the labels, but then nea
For psychologists like me (possibly for others) by far the most
time-consuming detail is variable labels. I need them for just about
every analysis I do. We can use special packages like Hmisc and its
function spss.get to import the labels, but then nearly all the other
packages don't respect the l
Patrick,
1. Implicit intercepts. Implicit intercepts are not too bad for the main
model, but they creep in occasionally in strange places where they might not
be expected. For example, in some of the variance structures specified in
lme, (~x) automatically expands to (~1+x). Venables said in th
gt; Subject: Re: [R] two questions for R beginners
>
> Liviu Andronic escribió:
> > On Mon, Mar 1, 2010 at 11:49 PM, Liviu Andronic
> > wrote:
> >
> >> On 3/1/10, Keo Ormsby wrote:
> >>
> >>> Perhaps my biggest problem was
with some of the niceties.
Sincerely,
KeithC.
-Original Message-
From: John Sorkin [mailto:jsor...@grecc.umaryland.edu]
Sent: Tuesday, March 02, 2010 4:46 AM
To: Karl Ove Hufthammer; r-h...@stat.math.ethz.ch
Subject: Re: [R] two questions for R beginners
Please take what follows no
On 03/04/2010 08:20 AM, David Winsemius wrote:
...
Perhaps the print methods for data.frame and matrix
should announce the class of the object being printed.
Yes! An enthusiastic vote for highlighting this fundamental distinction.
There is already quite enough conflation of these two very diss
: r-help@r-project.org
Subject: Re: [R] two questions for R beginners
I think Duncan's example of a list that is
a matrix is a compelling argument not to do
the change.
A matrix that is a list with both names and
dimnames *is* probably rare (but certainly
imaginable). A matrix that is a li
nounce the class of the object being printed.
Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com
> -Original Message-
> From: r-help-boun...@r-project.org
> [mailto:r-help-boun...@r-project.org] On Behalf Of Patrick Burns
> Sent: Wednesday, March 03, 2010 2:44 AM
> To: r-
...@r-project.org] On Behalf Of Patrick Burns
> Sent: Wednesday, March 03, 2010 2:44 AM
> To: r-help@r-project.org
> Subject: Re: [R] two questions for R beginners
>
> I think Duncan's example of a list that is
> a matrix is a compelling argument not to do
> the change
Hi
that is why I consider matrix is just a vector with dimensions and
data.frame is a rectangular structure similar to Excel table. That saved
me a lot of surprises.
But I must admit I am not a real beginner nowadays although I still learn
when using R, reading help list and trying sometimes
Petr,
On the other hand . . .
> mat<-matrix(1:12, 3,4)
> dat<-as.data.frame(mat)
> mat
[,1] [,2] [,3] [,4]
[1,]147 10
[2,]258 11
[3,]369 12
> dat
V1 V2 V3 V4
1 1 4 7 10
2 2 5 8 11
3 3 6 9 12
What you are demonstrating by your example is th
"John Sorkin" napsal dne 01.03.2010
15:19:10:
> If it looks like a duck and quacks like a duck, it ought to behave like
a duck.
>
> To the user a matrix and a dataframe look alike . . . except a dataframe
can
Well, matrix looks like a data.frame only on the first sight.
mat<-matrix(1:12, 3
March 02, 2010 3:46 AM
> To: Karl Ove Hufthammer; r-h...@stat.math.ethz.ch
> Subject: Re: [R] two questions for R beginners
> > Please take what follows not as an ad hominem statement, but >
rather as an attempt to improve what is already an excellent >
program, that has be
Liviu Andronic escribió:
On Mon, Mar 1, 2010 at 11:49 PM, Liviu Andronic wrote:
On 3/1/10, Keo Ormsby wrote:
Perhaps my biggest problem was that I couldn't (and still haven't) seen
*absolute beginners* documents.
there was once a link posted on r-sig-teaching that would prob
n the future.
John
John Sorkin
jsor...@grecc.umaryland.edu
-Original Message-
From: "William Dunlap"
To: John Sorkin
To: Karl Ove Hufthammer
To:
Sent: 3/2/2010 11:53:45 AM
Subject: RE: [R] two questions for R beginners
> -Original Message-
> From: r-help-
bject: Re: [R] two questions for R beginners
>
> Please take what follows not as an ad hominem statement, but
> rather as an attempt to improve what is already an excellent
> program, that has been built as a result of many, many hours
> of dedicated work by many, many unpaid, unsun
> -Original Message-
> From: r-help-boun...@r-project.org
> [mailto:r-help-boun...@r-project.org] On Behalf Of John Sorkin
> Sent: Tuesday, March 02, 2010 3:46 AM
> To: Karl Ove Hufthammer; r-h...@stat.math.ethz.ch
> Subject: Re: [R] two questions for R beginners
>
On Tue, Mar 2, 2010 at 7:27 AM, Duncan Murdoch wrote:
> John Sorkin wrote:
>>
>> Please take what follows not as an ad hominem statement, but rather as an
>> attempt to improve what is already an excellent program, that has been built
>> as a result of many, many hours of dedicated work by many, m
John Sorkin wrote:
Please take what follows not as an ad hominem statement, but rather as an
attempt to improve what is already an excellent program, that has been built as
a result of many, many hours of dedicated work by many, many unpaid, unsung
volunteers.
It troubles me a bit that when a
Please take what follows not as an ad hominem statement, but rather as an
attempt to improve what is already an excellent program, that has been built as
a result of many, many hours of dedicated work by many, many unpaid, unsung
volunteers.
It troubles me a bit that when a confusing aspect of
On Mon, Mar 1, 2010 at 11:49 PM, Liviu Andronic wrote:
> On 3/1/10, Keo Ormsby wrote:
>> Perhaps my biggest problem was that I couldn't (and still haven't) seen
>> *absolute beginners* documents.
>>
> there was once a link posted on r-sig-teaching that would probably fit
> your needs, but I cann
On Mon, 01 Mar 2010 10:00:07 -0500 Duncan Murdoch
wrote:
> Suppose X is a dataframe or a matrix. What would you expect to get from
> X[1]? What about as.vector(X), or as.numeric(X)?
All this of course depends on type of object one is speaking of. There
are plenty of surprises available, and
On Tue, 2 Mar 2010 08:58:25 +1300 Peter Alspach
wrote:
> This brings up another confusion for new users. Simply typing the
> object name at the command line gives just one view of the object (that
> provided by print()).
Good point. Any good introduction to R should include a brief discussion
>I would love to see a text oriented towards someone who has never used
anything but Excel, but realizes >that to do science today you have to go
beyond the "Data analysis" toolbar from Excel.
>(Plese tell me if you know of any)
>Best to all,
>Keo.
Please look at *R through Excel, *the book that E
Background: During my uni days, I was taught to use MAPLE, MATLAB,
SPSS, SAS, C++ and Java. Then after uni, several years went by without
me ever using any of them again and was told to just use Excel. Then I
started my PhD and was told I should start using R instead (something
I'd never even heard
Liviu Andronic escribió:
On 3/1/10, Keo Ormsby wrote:
Perhaps my biggest problem was that I couldn't (and still haven't) seen
*absolute beginners* documents.
Perhaps http://www.r-tutor.com/? Also recently a webinar on R [2] was
held and it hosts complete course notes and recordings. O
On 3/1/10, Keo Ormsby wrote:
> Perhaps my biggest problem was that I couldn't (and still haven't) seen
> *absolute beginners* documents.
>
Perhaps http://www.r-tutor.com/? Also recently a webinar on R [2] was
held and it hosts complete course notes and recordings. Otherwise,
there was once a link
Patrick Burns escribió:
* What were your biggest misconceptions or
stumbling blocks to getting up and running
with R?
* What documents helped you the most in this
initial phase?
I especially want to hear from people who are
lazy and impatient.
Feel free to write to me off-list. Definitely
wri
On 01-Mar-10 22:44:22, Jim Lemon wrote:
> On 03/02/2010 02:02 AM, Karl Ove Hufthammer wrote:
>>...
>> Of course I agree that 'the idea of a list is so fundamental to R that
>> it needs to be something learned pretty early', but is there any harm
>> in
>> slightly 'blur[ing] the distinction between
On 03/02/2010 02:02 AM, Karl Ove Hufthammer wrote:
...
Of course I agree that 'the idea of a list is so fundamental to R that
it needs to be something learned pretty early', but is there any harm in
slightly 'blur[ing] the distinction between dataframes and matrices', as
a convenience to the user
> On 01/03/2010 9:19 AM, John Sorkin wrote:
> If it looks like a duck and quacks like a duck, it ought to
> behave like a duck.
>
This brings up another confusion for new users. Simply typing the
object name at the command line gives just one view of the object (that
provided by print()). Rea
On 01/03/2010 11:33 AM, hadley wickham wrote:
> Suppose X is a dataframe or a matrix. What would you expect to get from
> X[1]? What about as.vector(X), or as.numeric(X)?
>
> The point is that a dataframe is a list, and a matrix isn't. If users don't
> understand that, then they'll be confused
;-)
Albert-Jan
~~
In the face of ambiguity, refuse the temptation to guess.
~~
--- On Mon, 3/1/10, Patrick Burns wrote:
From: Patrick Burns
Subject: Re: [R] two questions for R beginners
To: r-help@r-p
> Suppose X is a dataframe or a matrix. What would you expect to get from
> X[1]? What about as.vector(X), or as.numeric(X)?
>
> The point is that a dataframe is a list, and a matrix isn't. If users don't
> understand that, then they'll be confused somewhere. Making matrices more
> list-like in
If it looks like a duck and quacks like a duck,
you ought to treat it like a duck. That is,
use two subscripts:
x[i, j]
If you are an ornithologist, then you will know
more precisely what can be done.
Pat
On 01/03/2010 14:19, John Sorkin wrote:
If it looks like a duck and quacks like a duck
On Mon, 01 Mar 2010 14:50:57 - (GMT) ted.hard...@manchester.ac.uk
wrote:
> as.character(pi)
> # [1] "3.14159265358979"
>
> That raises a few questions about "expectations" too!
Expectations can indeed be dangerous. I have been bitten by this one:
as.numeric(as.character(pi))
It works
On Mon, 01 Mar 2010 12:25:20 - (GMT) ted.hard...@manchester.ac.uk
wrote:
> > A similar type of overloading is used in the 'sp' class functions,
> > where you can basically treat a 'SpatialPointsDataFrame', a
> > 'SpatialLinesDataFrame' or a 'SpatialPolygonsDataFrame' as a data
> > frame,
>
On Mon, Mar 1, 2010 at 4:02 PM, Karl Ove Hufthammer wrote:
> On Mon, 01 Mar 2010 09:09:11 -0500 Duncan Murdoch
> wrote:
>> >> The reason for the difference is that data.frames are lists organized
>> >> into columns (so the $ handling comes from the list, where it means
>> >> "extract the componen
> One of the things about R which many (and that certainly includes
> me) have to find out the hard way is that you have to *learn*
> what to expect! You can't just import it from prior experience in
> other contexts. So, by the time you have learned that a matrix
> is such that all its elements mu
On Mon, 01 Mar 2010 09:09:11 -0500 Duncan Murdoch
wrote:
> >> The reason for the difference is that data.frames are lists organized
> >> into columns (so the $ handling comes from the list, where it means
> >> "extract the component") whereas a matrix is a single vector displayed
> >> in colum
On 01/03/2010 9:19 AM, John Sorkin wrote:
If it looks like a duck and quacks like a duck, it ought to behave like a duck.
To the user a matrix and a dataframe look alike . . . except a dataframe can
hold non-numeric values. Thus to the users, a matrix looks like a special case
of a DF, or perh
On 01-Mar-10 13:57:08, Petr PIKAL wrote:
> Hi
> r-help-boun...@r-project.org napsal dne 01.03.2010 13:03:24:
> < snip>
>> > I understand that 2 dimensional rectangular matrix looks quite
>> > similar to data frame however it is only a vector with dimensions.
>> > As such it can have items of only o
If it looks like a duck and quacks like a duck, it ought to behave like a duck.
To the user a matrix and a dataframe look alike . . . except a dataframe can
hold non-numeric values. Thus to the users, a matrix looks like a special case
of a DF, or perhaps conversely. If you can address elements
Karl Ove Hufthammer wrote:
On Mon, 01 Mar 2010 06:37:30 -0500 Duncan Murdoch
wrote:
Some functions output matrices where you would expect them to output
data frames, and then this problem occurs. (Is there a reason why '$'
could/should not be made to 'work' on matrices too?)
The r
Hi
r-help-boun...@r-project.org napsal dne 01.03.2010 13:03:24:
< snip>
> >
> > I understand that 2 dimensional rectangular matrix looks quite
> > similar to data frame however it is only a vector with dimensions.
> > As such it can have items of only one type (numeric, character, ...).
> > And
On 01-Mar-10 12:07:52, Karl Ove Hufthammer wrote:
> On Mon, 01 Mar 2010 06:37:30 -0500 Duncan Murdoch
>
> wrote:
>> > Some functions output matrices where you would expect them to output
>> > data frames, and then this problem occurs. (Is there a reason why
>> > '$'
>> > could/should not be made
Jack Siegrist wrote:
My biggest impediment, as a scientist without previous programming
experience, is that the R help is not beginner-friendly. I think it is
probably great for experienced programmers and for the people who helped to
create the software, to help them remember what they did, but
On Mon, 01 Mar 2010 06:37:30 -0500 Duncan Murdoch
wrote:
> > Some functions output matrices where you would expect them to output
> > data frames, and then this problem occurs. (Is there a reason why '$'
> > could/should not be made to 'work' on matrices too?)
> >
> The reason for the differ
On 01-Mar-10 11:09:51, Petr PIKAL wrote:
> Hi
> r-help-boun...@r-project.org napsal dne 01.03.2010 11:26:40:
>> On Mon, 1 Mar 2010 11:02:59 +0100 Karl Ove Hufthammer
>>
>> wrote:
>> > > * What were your biggest misconceptions or
>> > > stumbling blocks to getting up and running
>> > > with R?
>>
Karl Ove Hufthammer wrote:
On Mon, 1 Mar 2010 11:02:59 +0100 Karl Ove Hufthammer
wrote:
* What were your biggest misconceptions or
stumbling blocks to getting up and running
with R?
Also I found it quite confusing that
One more thing that still trips me up sometimes. '$' works
Karl Ove Hufthammer wrote:
On Fri, 26 Feb 2010 11:56:10 -0800 (PST) Jack Siegrist
wrote:
What I think would be very helpful is an introduction to programming using
R
Here you are:
A First Course in Statistical Programming with R
http://www.cambridge.org/uk/catalogue/catalogue.asp?isbn
Hi
r-help-boun...@r-project.org napsal dne 01.03.2010 11:26:40:
> On Mon, 1 Mar 2010 11:02:59 +0100 Karl Ove Hufthammer
> wrote:
> > > * What were your biggest misconceptions or
> > > stumbling blocks to getting up and running
> > > with R?
> >
> > Also I found it quite confusing that
>
> One
On Mon, 1 Mar 2010 11:02:59 +0100 Karl Ove Hufthammer
wrote:
> > * What were your biggest misconceptions or
> > stumbling blocks to getting up and running
> > with R?
>
> Also I found it quite confusing that
One more thing that still trips me up sometimes. '$' works on data
frames but not on m
On Fri, 26 Feb 2010 11:56:10 -0800 (PST) Jack Siegrist
wrote:
> What I think would be very helpful is an introduction to programming using
> R
Here you are:
A First Course in Statistical Programming with R
http://www.cambridge.org/uk/catalogue/catalogue.asp?isbn=9780521694247
--
Karl Ove Hufth
On Thu, 25 Feb 2010 17:31:19 + Patrick Burns
wrote:
> * What were your biggest misconceptions or
> stumbling blocks to getting up and running
> with R?
I didn't have any major stumbling blocks, but even after years of using
R I didn't have a clear concept of what exactly a vector, a list an
;
> Rob
>
>
>
>
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
> On Behalf Of Patrick Burns
> Sent: Thursday, February 25, 2010 11:31 AM
> To: r-help@r-project.org
> Subject: [R] two questions for R beginners
>
>
Hi,
I don't think you should split the list for beginners.
On the SAS list we get questions from novices such as secretaries,
janitorial services, human resources and even top executives.
They often approach SAS from a very intuitive standpoint. These questions
often shake the experts t
Hi,
I don't think you should split the list for beginners.
On the SAS list we get questions from novices such as secretaries,
janitorial services, human resources and even top executives.
They often approach SAS from a very intuitive standpoint. These questions
often shake the experts t
ncept of vectorization and its related syntax
took a long time to understand.
John
John Sorkin
jsor...@grecc.umaryland.edu
-Original Message-
From: Saeed Abu Nimeh
Cc:
To:
Sent: 2/26/2010 11:36:38 PM
Subject: Re: [R] two questions for R beginners
Hi Ivan,
On 2/26/10 6:30 AM,
Dieter Menne [Fri, Feb 26, 2010 at 08:39:14AM
CET]:
>
>
> Patrick Burns wrote:
> >
> > * What were your biggest misconceptions or
> > stumbling blocks to getting up and running
> > with R?
> >
> >
> (This derives partly from teaching)
>
[...]
>
> The concept of environment. With S it was w
Lazy and impatient? That's me!
I find it hard to say what my biggest misconceptions were.
Here's one thing:
What I realized very early on:
- many data analysis functions return a bunch of stuff, not all of which
you see when you print() it
what I *failed* to realize:
- The bunch of stuff
On Fri, Feb 26, 2010 at 1:28 PM, Saeed Abu Nimeh wrote:
> Pat,
> Off the bat, beginners and advanced. In addition, splitting by domain
> would be very helpful -- something along the lines of:
> http://cran.r-project.org/web/views/. But we should be careful, we do
> not want to create 20 other mail
sorry meant community not committee
On 2/26/10 8:36 PM, Saeed Abu Nimeh wrote:
Hi Ivan,
On 2/26/10 6:30 AM, Ivan Calandra wrote:
You are definitely right...
What to do with bad beginner's questions is not a simple issue.
If a "beginner's mailing list" is created, who will answer to such
quest
Hi Ivan,
On 2/26/10 6:30 AM, Ivan Calandra wrote:
You are definitely right...
What to do with bad beginner's questions is not a simple issue.
If a "beginner's mailing list" is created, who will answer to such
questions?
If I subscribe to the beginners mailing list, then I have to expect
novi
My biggest impediment, as a scientist without previous programming
experience, is that the R help is not beginner-friendly. I think it is
probably great for experienced programmers and for the people who helped to
create the software, to help them remember what they did, but I think it is
very di
Patrick Burns
> * What were your biggest misconceptions or
> stumbling blocks to getting up and running
> with R?
I came into R from SAS, with its powerful data step language and very
simplified data types. Most of my work is data manipulation prior to a
variety of univariate statistical calcu
Pat,
Off the bat, beginners and advanced. In addition, splitting by domain
would be very helpful -- something along the lines of:
http://cran.r-project.org/web/views/. But we should be careful, we do
not want to create 20 other mailing lists :) We have to group things.
This will help splitting the
Dear Patrick (and all)
I'm now working with R a couple of years, before working mostly in Matlab
Lazy & impatient is both true for me :-)
* What were your biggest misconceptions or
stumbling blocks to getting up and running
with R?
> * What documents helped you the most in this
> initial phas
Thomas Adams wrote:
Paul,
I think your point "you need [to] spend at least a few hours a week on
it" is key. Since I am not doing statistics daily, more in fits &
starts as my latest project -may- require, my approach has been more
task oriented. A less-than-ideal approach. So, I think your s
Paul,
I think your point "you need [to] spend at least a few hours a week on
it" is key. Since I am not doing statistics daily, more in fits & starts
as my latest project -may- require, my approach has been more task
oriented. A less-than-ideal approach. So, I think your suggestion is
on-the-
Hi again Paul,
Hi Ivan (and list),
I think the main problem is not as much that there isn't structure in
the way R provides documentation / tutorials, but that people have a
hard time finding the structure. There are task views for certain
specific fields, but I think a lot of beginners do n
Ivan Calandra wrote:
You are definitely right...
What to do with bad beginner's questions is not a simple issue.
If a "beginner's mailing list" is created, who will answer to such
questions? And moreover, the beginners won't take advantage of the other
questions (I've personally learned a lot
I don't want to sound bad but the first thing beginners should do is to
look at the manual "An Introduction to R" because most of the simple
questions have their answers into it. In the same idea, before posting
to this mailing list, people should (must?) follow the posting guide.
Indeed it is
g [mailto:r-help-boun...@r-project.org]
On Behalf Of Patrick Burns
Sent: Thursday, February 25, 2010 11:31 AM
To: r-help@r-project.org
Subject: [R] two questions for R beginners
* What were your biggest misconceptions or
stumbling blocks to getting up and running
with R?
* What documents helped you the
Ivan Calandra writes:
> Related to it, the *apply functions are still a bit difficult to
> understand. When I have to use them, I just try one and see what
> happens. I don't understand them well enough to know which one I
> need.
Ditto. I have ended up with a small collection of "black magic"
You are definitely right...
What to do with bad beginner's questions is not a simple issue.
If a "beginner's mailing list" is created, who will answer to such
questions? And moreover, the beginners won't take advantage of the other
questions (I've personally learned a lot trying to understand th
Ivan Calandra wrote:
Since you want input from beginners, here are some thoughts
I had and still have two big problems with R:
- this vectorization thing. I've read many manuals (including R
inferno), but I'm still not completely clear about it. In simple
examples, it's fine. But when it gets
On 25/02/2010 20:42, Greg Snow wrote:
Patrick,
I would add one more question:
* where did you look for help expecting answers, but did not find them?
Yes, an excellent additional question.
Pat
If you add hubris to laziness and impatience, you have Larry Wall's 3 virtues
of a programmer.
Saeed,
If the R-help list were split, what do you
see as the pieces?
Pat
On 26/02/2010 01:53, Saeed Abu Nimeh wrote:
On Thu, Feb 25, 2010 at 9:31 AM, Patrick Burns wrote:
* What were your biggest misconceptions or
stumbling blocks to getting up and running
with R?
1- Compared to other prog
My difficulties:
1) Statistics :-) well, I'm learning.
2) Understand what is available *per subject area*. Something like the task
view for
packages, should be compiled for basic commands/functions. Like: all things
related to
string manipulation, all things related to number formatting, all *app
Since you want input from beginners, here are some thoughts
I had and still have two big problems with R:
- this vectorization thing. I've read many manuals (including R
inferno), but I'm still not completely clear about it. In simple
examples, it's fine. But when it gets a bit more complex, th
Patrick Burns wrote:
>
> * What were your biggest misconceptions or
> stumbling blocks to getting up and running
> with R?
>
>
(This derives partly from teaching)
The fact that this xapply-stuff was not idempotent (worse: not always) and
that you need a monster like do.call() to straighten th
On Thu, Feb 25, 2010 at 9:31 AM, Patrick Burns wrote:
> * What were your biggest misconceptions or
> stumbling blocks to getting up and running
> with R?
1- Compared to other programming languages it is hard to learn R by
example, because it is hard to find code on the web that will do the
exact
* What were your biggest misconceptions or
stumbling blocks to getting up and running
with R?
* What documents helped you the most in this
initial phase?
I especially want to hear from people who are
lazy and impatient.
Feel free to write to me off-list. Definitely
write off-list if you are ju
My biggest blocker was my misconception that R is extremely difficult
to start with. It is powerful and one can do very complicated things (
that consequently turn things complicated) but it comes with very
nice defaults and one can produce great results with standard tasks in
very little time - e
On Thu, Feb 25, 2010 at 5:39 PM, Carl Witthoft wrote:
> Well, here goes...
>
> I still wish there were a really good monograph on the use and
> implementation of factors.
To get a good handle on factors, and the sets of contrasts they encode,
it is really necessary to study a good statistics book
My biggest stumbling blocks to getting up and running with R was whenever I
was lazy and impatient.
The more you love R, the more it loves you back.
Tal
Contact
Details:---
Contact me: tal.gal...@gmail.com | 972-52-7275845
R
Patrick Burns wrote:
>
> * What were your biggest misconceptions or
> stumbling blocks to getting up and running
> with R?
>
R was the first scripting language that I *really* invested time in
learning. Prior to R I had a few years experience programming in Fortran
and had worked on a few pro
. Definitely
> write off-list if you are just confirming what
> has been said on-list.
Cheers!!
Albert-Jan
~~
In the face of ambiguity, refuse the temptation to guess.
~~~~~~~~~~~~~~~~~~~
Well, here goes...
I still wish there were a really good monograph on the use and
implementation of factors.
I had to do a certain amount of digging to learn that {assign, get,
eval, expression, call, parse, deparse} all existed and how they play
together. Sometimes they are look like the C
Patrick Burns wrote:
* What were your biggest misconceptions or
stumbling blocks to getting up and running
with R?
* What documents helped you the most in this
initial phase?
I especially want to hear from people who are
lazy and impatient.
Can't be bothered with questionnaires and can't wait
ilto:r-help-boun...@r-
> project.org] On Behalf Of Patrick Burns
> Sent: Thursday, February 25, 2010 10:31 AM
> To: r-help@r-project.org
> Subject: [R] two questions for R beginners
>
> * What were your biggest misconceptions or
> stumbling blocks to getting up and running
> with R?
On 2/25/10, Patrick Burns wrote:
> * What were your biggest misconceptions or
> stumbling blocks to getting up and running
> with R?
>
> * What documents helped you the most in this
> initial phase?
>
> I especially want to hear from people who are
> lazy and impatient.
>
I'm quite resilient
Apparently I need to explain the "lazy and
impatient" comment. No offence was intended
(quite the contrary). The meaning of it is
that the higher your level of frustration,
the more valuable your comments are likely to
be to me.
On 25/02/2010 17:31, Patrick Burns wrote:
* What were your bigges
I started using statistical software with the commercial product S+
when I obtained a new HP735 workstation. We kept the S+ license
going for a number of years until I heard about R. It was an easy
transition and because I have been proficient in fortran and perl,
the scripting came naturally
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