Thank you Jeff for pointing out bad spreadsheet practices in R,
seconded by Mathew and Bert.
I should have considered creating a second dataframe ("test1_summary")
to distinguish raw from processed data. Those who want to address
memory issues caused by unnecessary duplication, feel free to chime
This looks opaque and hard to maintain.
It seems to me that a better strategy is to subset your vector with modulo
expressions, use a normal sort on each of the subsets, and add the result to
each other. 0 and 1 need to be special-cased.
myPrimes <- c(2, 3, 5)
mySource <- sample(0:10)
# specia
?str
tells you the structure of any object. *Learn to use it!*
It may well be the that you *cannot* do what you describe. As you
should know by now in your "learning curve", invoking
> obj
at the console silently invokes the print method for obj, and what is
printed may in fact be calculated on
The short answer is that hold isn't a list-like object, and $ only
works with list-like objects (lists and data frames, mainly).
You can get the full explanation (VERY full), at
?Extract
or any of its aliases, like
?'$'
or
?'['
Sarah
On Fri, Mar 31, 2017 at 7:11 PM, Evan Cooch wrote:
> Continui
All:
1. I agree wholeheartedly with prior responses.
2. But let's suppose that for some reason, you *did* want to carry
around some "calculated values" with the data frame. Then one way to
do it is to add them as attributes to the data frame. This way they
cannot "pollute" the data in the way Jef
This is your answer:
> str(hold)
Classes 'summaryDefault', 'table' Named num [1:6] -2.602 0.636 1.514 1.54
2.369 ...
..- attr(*, "names")= chr [1:6] "Min." "1st Qu." "Median" "Mean" ...
hold is a table of named numbers, i.e. a vector with a names attribute. It is
not a data.frame so it does
Hi, I'd like to create a function that will sort values of a vector on a
given basis:
-zeros
-ones
-numbers divisible by 2
-numbers divisible by 3 (but not by 2)
-numbers divisible by 5 (but not by 2 and 3)
etc.
I also want to omit zeros in those turns. So when I have a given vector of
c(0:1
Continuing my learning curve after 25_ years with using SAS. Want to
pull the "Mean" forom the summary of something...
test <- rnorm(1000,1.5,1.25)
hold <- summary(test)
names(hold)
[1] "Min.""1st Qu." "Median" "Mean""3rd Qu." "Max."
OK, so "Mean" is in there.
So, is there a short fo
This does the summation you want in one line:
#create example data and column selection
d = as.data.frame(matrix(rnorm(50),ncol=5))
cols = c(1,3)
#sum selected columns and put results in new row
d[nrow(d)+1,cols] = colSums(d[,cols])
However, I would agree with the sentiments that this is a bad i
You can also look at the knitr-RMarkdown work flow, or the knitr-latex work
flow. In both of these it is reasonable to convert your data frame to a
temporary character-only form purely for output purposes. However, one can
usually use an existing function to push your results out without damagin
Hello,
I work for a large organization who is looking to productionize (deploy)
models built in R on the cloud. Currently, we were looking into IBM
Bluemix, but I’ve been told only Python is supported for model deployment.
I’d appreciate if anyone can point me to the right direction here in terms
Again, you should always copy the R-help list on replies to your OP.
The short answer is you **shouldn't** replace NAs with blanks in your
matrix or dataframe. NA is the proper designation for those cell
positions. Replacing NA with a "blank" in a dataframe will convert
that column to a "characte
In https://statcompute.wordpress.com/?s=rpy2, you can find examples of rpy2.
In https://statcompute.wordpress.com/?s=pyper, you can find examples of pyper.
On Fri, Mar 31, 2017 at 11:38 AM, Kankana Shukla wrote:
> I'm not great at rpy2. Are there any good examples I could see to learn
> how to
I'm sure there are more efficient ways, but this works:
> test1 <- matrix(runif(50), nrow=10, ncol=5)
> ## test1 <- as.data.frame(test1)
> test1 <- rbind(test1, NA)
> test1[11, c(1,3)] <- colSums(test1[1:10,c(1,3)])
> test1
HTH,
Bill.
William Michels, Ph.D.
On Fri, Mar 31, 2017 at 9:20 AM,
> On 31 Mar 2017, at 19:28, John McKown wrote:
>
> On Fri, Mar 31, 2017 at 12:15 PM, Berend Hasselman wrote:
>
> I have noted a difference between R on macOS en on Kubuntu Trusty (64bits)
> with complex division.
> I don't know what would happen R on Windows.
>
> R.3.3.3:
>
> macOS (10.11.6
On Fri, Mar 31, 2017 at 12:15 PM, Berend Hasselman wrote:
>
> I have noted a difference between R on macOS en on Kubuntu Trusty (64bits)
> with complex division.
> I don't know what would happen R on Windows.
>
> R.3.3.3:
>
> macOS (10.11.6)
> -
> > (1+2i)/0
> [1] NaN+NaNi
> > (-1
On 31.03.2017 19:15, Berend Hasselman wrote:
I have noted a difference between R on macOS en on Kubuntu Trusty (64bits) with
complex division.
I don't know what would happen R on Windows.
R.3.3.3:
macOS (10.11.6)
-
(1+2i)/0
[1] NaN+NaNi
(-1+2i)/0
[1] NaN+NaNi
1i/0
[1]
> dat <- data.frame(Group=LETTERS[1:5], X=1:5, Y=11:15)
> pos <- c(2,3)
> rbind(dat, Sum=lapply(seq_len(ncol(dat)), function(i) if (i %in% pos)
> sum(dat[,i]) else NA_real_))
Group X Y
1 A 1 11
2 B 2 12
3 C 3 13
4 D 4 14
5 E 5 15
Sum 15 65
> str(.Last.val
I have noted a difference between R on macOS en on Kubuntu Trusty (64bits) with
complex division.
I don't know what would happen R on Windows.
R.3.3.3:
macOS (10.11.6)
-
> (1+2i)/0
[1] NaN+NaNi
> (-1+2i)/0
[1] NaN+NaNi
>
> 1i/0
[1] NaN+NaNi
> 1i/(0+0i)
[1] NaN+NaNi
KubuntuTru
Let's keep r-list on the email per typical protocol. Apply is a function in
base R, so you don't need to install it
-Original Message-
From: Bruce Ratner PhD [mailto:b...@dmstat1.com]
Sent: Friday, March 31, 2017 1:06 PM
To: Doran, Harold
Subject: Re: [R] Taking the sum of only some col
I'm not great at rpy2. Are there any good examples I could see to learn
how to do that? My R code is very long and complicated.
On Fri, Mar 31, 2017 at 7:08 AM, Stefan Evert
wrote:
>
> > On 30 Mar 2017, at 23:37, Kankana Shukla wrote:
> >
> > I have searched for examples using R and Python to
> On Mar 30, 2017, at 3:16 PM, Thomas Petzoldt wrote:
>
> On 30.03.2017 23:34, Paul Bernal wrote:
>> Hello everyone,
>>
>> Is there a way to use the function seq to generate a date sequence in
>> this kind of format: jan-2007?
>
> format(seq(ISOdate(2017,1,1), ISOdate(2017,12,31), "months"), "
Apologies, my code below has an error that recycles the vector x. Hopefully,
the concept is clear.
-Original Message-
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Doran, Harold
Sent: Friday, March 31, 2017 12:34 PM
To: 'Bruce Ratner PhD' ; r-help@r-project.org
Subject:
I do not believe this can be done in one step
dat <- data.frame(matrix(rnorm(50), 5))
pos <- c(1,3)
res <- apply(dat[, pos], 2, sum)
x <- numeric(5)
x[pos] <- res
rbind(dat,x)
-Original Message-
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Bruce Ratner PhD
Sent:
Hi R'ers:
Given a data.frame of five columns and ten rows.
I would like to take the sum of, say, the first and third columns only.
For the remaining columns, I do not want any calculations, thus rending their
"values" on the "total" row blank. The sum/total row is to be combined to the
original
Hello,
As a part of a larger project, I am trying to run a conditional logistic
regression to look at whether maternal age is implicated in the risk of
developing gestational diabetes. I am using a matched case-control design,
where mothers with GDM were individually matched with up to 6 controls
The only place I've noticed differences is in encoding and string sorting,
both of which are locale and library dependent.
Best,
Ista
On Mar 31, 2017 8:14 AM, "Neil Salkind" wrote:
> Can someone please direct me to an answer to the question as to how R
> differs for these two operating systems,
> On Mar 31, 2017, at 7:04 AM, Stefan Evert wrote:
>
>
>> On 30 Mar 2017, at 11:51, Eshi Vaz wrote:
>>
>> When trying to computer a fisher’s exact test using the fisher.test function
>> from the gmodels() package, <
>
> The problem seems to be with a different fisher.test() function fr
> On 31 Mar 2017, at 14:04 , Stefan Evert wrote:
>
>
>> On 30 Mar 2017, at 11:51, Eshi Vaz wrote:
>>
>> When trying to computer a fisher’s exact test using the fisher.test function
>> from the gmodels() package, <
>
> The problem seems to be with a different fisher.test() function from
> On 30 Mar 2017, at 23:37, Kankana Shukla wrote:
>
> I have searched for examples using R and Python together, and rpy2 seems
> like the way to go, but is there another (easier) way to do it?
Rpy2 would seem to be a very easy and convenient solution. What do you need
that can't easily be do
> On 30 Mar 2017, at 11:51, Eshi Vaz wrote:
>
> When trying to computer a fisher’s exact test using the fisher.test function
> from the gmodels() package, <
The problem seems to be with a different fisher.test() function from the
gmodels package, not with stats::fisher.test.
The usual r
File encodings differ when you move outside of standard ASCII code. Not really
R's problem, but it is a fly in the ointment when teaching classes with mixed
laptop armoury and there are also differences between classroom and desktop
computers. RStudio does have features to switch encodings, but
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