(1) Using 'C == TRUE' (when you know C is logical)
is equivalent to just plain C, only obscure.
Similarly, 'C == FALSE' is more confusing than !C.
(2) Consider B[C]. The rows of C have 2, 1, 1, 2, 1 TRUE.
entries, so the result here *cannot* be a rectangular array.
And whatever it
In fairness to Raija Hallam, I've met masters and doctoral students whose
supervisors hadn't a clue. (Heck, I once worked at a University where the
staff evaluation process involved taking the means of 5-point ordinal
variables...) Two of these cases stick in my mind: one where the student
had mo
What do you *mean* "when you want to use the kernels".
WHICH kernels?
Use to do WHAT?
In your browser, visit cran.r-project.org
then select "Packages" from the list on the left.
Then pick the alphabetic list.
Now search for 'kernel'.
You will find dozens of matches.
On Wed, 14 Oct 2020 at 05:15, P
I do not understand your question.
Are you talking about "functional data analysis", the statistical
analysis of data where some of the covariates are (samples from)
continuous functions? There are books and tutorials about doing
that in R.
Are you talking about "functional data structures", as
I'm running Ubuntu 18.04 LTS and
r-base/bionic-cran35,now 3.6.3-1bionic all [installed]
3.6.3 is also the latest version in the repository.
On Fri, 30 Oct 2020 at 12:21, Marc Schwartz via R-help
wrote:
>
> > On Oct 29, 2020, at 6:35 PM, H wrote:
> >
> > On 10/29/2020 01:49 PM, Marc Schwartz wr
To be honest, I would do this one of two ways.
(1) Use ?decimate from library(signal),
decimating by a factor of three.
(2) Convert the variable to an (n/3)*3 matrix using
as.matrix then use rowMeans or apply.
On Thu, 3 Dec 2020 at 06:55, Stefano Sofia
wrote:
> Dear list users,
> I hav
More accurately, in x[i] where x and i are simple vectors,
i may be a mix of positive integers and zeros
where the zeros contribute nothing to the result
or it may be a MIX of negative integers and zeros
where the zeros contribute nothing to the result
and -k means "do not include element k".
"Body Mass Index" is a rather bizarre thing:
body.mass.in.kg / height.in.m^2
I have never been able to find any biological
or physical meaning for this. Yet clinicians
are solemnly advised to measure the weight to
the nearest 0.1kg and the height to the
nearest 0.1cm.
How do you propose to determ
The source being a URL is not important.
The important things are
- what the structure of the JSON data is
- what the MEANING of the JSON data is
- what that meaning says about what SHOULD appear in the data
from in these cases.
Arguably this isn't even an R question at all. It's a question
In this context, "partial" is not the name of any function or package in R.
It is just the name of a parameter. And its meaning, which is specific to
sort(), is spelled out in the documentation for sort:
> ?sort
...
If ‘partial’ is not ‘NULL’, it is taken to contain indices of
elements
> x <- c(1,2,3) # a vector of numbers, such as snowfallsum
> (cx <- cumsum(x)) # a vector of cumulative sums.
1 3 6
> i <- 1 # The starting point.
> j <- 2 # The ending point.
> cx[j] - cx[i-1] # sum of x[i] + ... + x[j]
ERROR!
> cx <- c(0, cx) # Oops, we need this step.
> cx[j+1] - cx[i]
So usin
According to Wikipedia, this is the definition of Whipple's index:
"The index score is obtained by summing the number of persons in the
age range 23 and 62 inclusive, who report ages ending in 0 and 5,
dividing that sum by the total population between ages 23 and 62 years
inclusive, and multiplyin
If you want to look at each digit, you should take a step back and
think about what the
Whipple index is actually doing. Basically, the model underlying the
Whipple index is
that Pr(age = xy) = Pr(age = x*)Pr(age = *y) if there is no age
heaping. Or rather,
since the age is restricted to 23..62 (
It is a general "feature" of TeX that documents with tables of
contents, indices,
bibliographies, and so on, have to be "iterated to convergence". A couple of
PhD theses came out of Stanford; the problem is in that which page one thing
goes on depends on where other things went, which depends on w
Why would you need a package for this?
> samples.per.day <- 12*24
That's 12 5-minute intervals per hour and 24 hours per day.
Generate some fake data.
> x <- rnorm(samples.per.day * 365)
> length(x)
[1] 105120
Reshape the fake data into a matrix where each row represents one
24-hour period.
> m
ide.) In an important sense, there is no right way to
analyse river flow data *on its own*.
On Mon, 30 Aug 2021 at 14:47, Jeff Newmiller wrote:
>
> IMO assuming periodicity is a bad practice for this. Missing timestamps
> happen too, and there is no reason to build a broken analy
affect the point that you probably should not
be doing any of this.
On Tue, 31 Aug 2021 at 00:42, Rich Shepard wrote:
>
> On Mon, 30 Aug 2021, Richard O'Keefe wrote:
>
> > Why would you need a package for this?
> >> samples.per.day <- 12*24
> >
> > That
g time.
On Tue, 31 Aug 2021 at 11:34, Rich Shepard wrote:
>
> On Tue, 31 Aug 2021, Richard O'Keefe wrote:
>
> > I made up fake data in order to avoid showing untested code. It's not part
> > of the process I was recommending. I expect data recorded every N minutes
>
I wrote:
> > By the time you get the data from the USGS, you are already far past the
> > point
> > where what the instruments can write is important.
Rich Shepard replied:
> The data are important because they show what's happened in that period of
> record. Don't physicians take a medical histor
Your question is ambiguous.
One reading is
n <- length(table$Data)
m <- n %/% 3
s <- sample(1:n, n)
X <- table$Data[s[1:m]]
Y <- table$Data[s[(m+1):(2*m)]]
Z <- table$Data[s[(m*2+1):(3*m)]]
On Fri, 3 Sept 2021 at 13:31, AbouEl-Makarim Aboueissa
wrote:
>
> Dear All:
>
> How to split
Let's simplify this to consider a single vector, such as
x <- c(1,1,1,2,2,3,3,3,3,4,5,5,5)
in which equal elements are in contiguous blocks.
> diff(x)
[1] 0 0 1 0 1 0 0 0 1 1 0 0
Of course, there could be gaps, or the sequence might be descending
instead of ascending. So
> diff(x) != 0
We are nea
On a $150 second-hand laptop with 0.9GB of library,
and a single-user installation of R so only one place to look
LIBRARY=$HOME/R/x86_64-pc-linux-gnu-library/4.0
cd $LIBRARY
echo "kbytes package"
du -sk * | sort -k1n
took 150 msec to report the disc space needed for every package.
That'
On Sun,
Colour me confused.
if (...) { ... } else { ... }
is a control structure. It requires the test to evaluate to a single
logical value,
then it evaluates one choice completely and the other not at all.
It is special syntax.
ifelse(..., ..., ...) is not a control structure. It is not special
syntax
Do you really want the minimum?
It sounds as though your model is a*N(x1,s1) + (1-a)*N(x2,s2) where
you use mixtools to estimate
the parameters. Finding the derivative of that is fairly
straightforward calculus, and solving for the
derivative being zero gives you extrema (you want the one between
automatic method more than
> function analysis...
>
> On Thu, Oct 14, 2021 at 9:06 AM Richard O'Keefe wrote:
> >
> > Do you really want the minimum?
> > It sounds as though your model is a*N(x1,s1) + (1-a)*N(x2,s2) where
> > you use mixtools to estimate
> &g
It *sounds* as though you are trying to impute missing data.
There are better approaches than just plugging in means.
You might want to look into CALIBERrfimpute or missForest.
On Tue, 19 Oct 2021 at 01:39, Admire Tarisirayi Chirume
wrote:
>
> Good day colleagues. Below is a csv file attached whi
Reasons for preferring one to another:
- taste.
If you like curly braces, you'll prefer R.
If you like indentation forced by syntax, you'll prefer Python.
- compatibility.
This morning I was trying to use a web site where all the Python
examples were non-functional due to either of bo
CSV data is very often strangely laid out. For analysis,
Buffer Date Reading
100... ...
100... ...
and so on is more like what a data frame should be. I get
quite annoyed when I finally manage to extract data from a
government agency only to find that my tax money has been
spent on maki
If you have enough data that running out of memory is a serious problem,
then a language like R or Python or Octave or Matlab that offers you NO
control over storage may not be the best choice. You might need to
consider Julia or even Rust.
However, if you have enough data that running out of mem
What puzzles me is why you are not just using
lapply(some.data.frame, min)
lapply(some.data.frame, max)
or as.vector(lapply(...))
Why go to another package for this?
Is it the indices you want?
col.min.indices <- function (some.data.frame) {
v <- sapply(some.data.frame, function (column)
You want to DELETE rows satisfying the condition P & Q.
The subset() function requires an expression saying what
you want to RETAIN, so you need subset(PD, !(P & Q)).
test <- subset(PD, !(Class == "1st" & Survived == "No"))
By de Morgan's laws, !(P & Q) is the same as (!P) | (!Q)
so you could als
I used to work on a Prolog implementation that did something similar.
At any point you could explicitly save a snapshot of the current state
and then from the operating system command line, resume it.
This wasn't really for checkpointing. It was so that you could load
up a customised environment,
Use VirtualBox. You can take a 'snapshot' of a running virtual
machine, either from the GUI or from the CLI (vboxmanage snapshot ...)
and restore it later.
This requires NO changes to R. Snapshots can be restored on
another machine of the same kind with the same system software.
VirtualBox is f
You want to read this:
http://adv-r.had.co.nz/Exceptions-Debugging.html
It describes all the ways that R can report a problem
and all the ways you can catch such a report while still in R.
Let me heartily recommend the whole site, or better yet, the book
https://www.amazon.com/dp/0815384572/ref=
mming.
>
> I have never used get(), so I will keep that in mind. I agree that it
> makes life much easier to enter the data in the way it will be analyzed.
>
>
>
>
> -Original Message-
> From: Jeff Newmiller
> Sent: Tuesday, February 8, 2022 10:10 PM
> T
There are at least two ways to use R.
If you have devised a statistical/data science technique
and are writing a package to be used by other people,
that is normal software development that happens to be
using R and the R tool. Lots of attention to documentation
and tests. Test-Driven Development
th
the spirit of the language.
On Mon, 14 Feb 2022 at 14:57, Ebert,Timothy Aaron wrote:
> But I find things like this website on mutable and immutable objects in
> python “
> https://www.geeksforgeeks.org/mutable-vs-immutable-objects-in-python/”
> Would this be better titled “Objects ve
I too have been wondering what "a truth table generator"
meant to the OP. There are web sites like
https://web.stanford.edu/class/cs103/tools/truth-table-tool/
where you can type in a formula and it will display a
truth table with a column for each variable and a column for the result.
The last pr
Start with a good book like "Applied Spatial
Data Analysis with R". If you want to do spatial
data analysis, then you are going to need measurements
at lots of different places in space.
On Thu, 24 Mar 2022 at 23:14, Hasliza Rusmili
wrote:
> Thank you very much. I will ask the question there.
>
Thank you for the reference to "Spatial Predictive Modeling with R".
I look forward to reading it.
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-
under the impression that
> this particular collation was in fact supposed to collate according to the
> numerical magnitude of the UTF-8 code points but it does not appear to do
> so.
>
> On April 14, 2022 4:25:17 AM PDT, Richard O'Keefe
> wrote:
> >To the original
I would like to point out that there is an English word
"cran" (one syllable, rhymes with "can" "ban" "than" ...).
It means "
a measure of fresh herrings, equivalent to 37 1/2 gallons".
If you are going to use "CRAN" as the name of something,
you are going to have to expect me to pronounce it lik
There is a kind of data I run into fairly often
which I have never known how to represent in R,
and nothing I've tried really satisfies me.
Consider for example
...
- injuries
...
- injuries to limbs
...
- injuries to extremities
...
- injuries to hands
- i
but they too take one approach to solve a problem rather
> than "here is a problem" and "these are all possible solutions." I
> appreciate seeing alternative solutions.
>
> Tim
>
> -Original Message-
> From: R-help On Behalf Of Richard O'Kee
Zubair Chishti <
mzchis...@eco.qau.edu.pk> wrote:
> Dear Respected Experts and specifically Professor Richard O'Keefe,
> Thank you so much for your precious time and generous help. However, the
> problem is still there and I am just unable to resolve it due to the lack
> of exper
(1) Your sample code refers to a file DY_Table.xlsx
but the file you attached to a later message is
called Data_oil_agri.xlsx and I find it hard to
believe that they are the same file.
(2) gmail offered me two different ways to download
the file, but neither of them worked. Fortun
he just reply to write the table. So, I
> need to know how to write the table for the code mentioned above?
> I hope that you got my question now.
>
> Regards
> Chishti
>
> On Mon, Jul 11, 2022 at 3:05 PM Richard O'Keefe wrote:
>
>> (1) Your sample code refers to a
Breaking up the *line* doesn't mean breaking up the *command*.
For example,
x <- c(
"FOOBAR", # 1
...
"FOOBAR", # 4999
"UGGLE")
works fine, with source(..), with "R -f ...", and other ways.
Each *line* is short, but it's still one *command*.
I'd probably put that much data in a fil
I'm retired, and I had an hour on my hands while tea cooked and my
granddaughter did her homework, and I just *love* showing off how helpful I
am.
Good news: someone finally looked at your data.
(That would be me.)
Bad news: it's going to be a lot of work to do what you want to, and YOU
SHOULDN'T
PDFLaTeX does support Latin-1, and this is a Latin-1
character.
On Thu, 25 Aug 2022 at 15:35, Jeff Newmiller
wrote:
> Are you aware that pdfLatex does not support Unicode? You need to use
> xeLatex. But I don't use Sweave, so I don't know how you go about making
> that choice.
>
> On August 24,
You DON'T need to use backticks. switch() is much older than backticks.
Ordinary quotation marks are fine.
> switch(as.character(1), "2"="YES", "1"="NO")
[1] "NO"
On Thu, 8 Sept 2022 at 07:46, akshay kulkarni wrote:
> Dear Bert,
> Thanks...I went through the doc pages but c
?preProcess
k-nearest neighbor imputation is carried out by finding the k
closest samples (Euclidian distance) in the training set.
Imputation via bagging fits a bagged tree model for each predictor
(as a function of all the others). This method is simple, accurate
and acce
Background: there is a data file whose records, after a header,
can be describedby the Fortran format given in the header.
YES, you can easily read that file in R, and you don't even need to know
anything about Fortran formats to do it.
You can read the file as a data frame using read.table
using
How long does it take to learn R?
Meaningless question.
Who is learning?
Are they new to programming?
What other programming languages do they know?
Are they new to statistics?
What other statistics environments do they know?
Are they learning by themselves?
Do they have a mentor?
Fellow students?
If I had this problem, in the old days I'd've whipped up
a tiny AWK script. These days I might use xsv or qsv.
BUT
first I would want to know why these extra fields are
present and what they signify. Are they good data that
happen not to be described in the documentation? Do
they represent a def
"R longa, vita brevis."
On Thu, 29 Sept 2022 at 07:02, Berry, Charles
wrote:
> Aha!
> CCB
>
> > On Sep 27, 2022, at 6:08 PM, Rolf Turner
> wrote:
> >
> >
> > On Mon, 26 Sep 2022 11:14:57 +0800
> > Turritopsis Dohrnii Teo En Ming wrote:
> >
> >> Subject: How long does it take to learn the R pro
\n is for TERMINATING lines. Just like in C, C++, Java,
C#, Python, Ruby, Erlang, pretty much everything that
uses \n in strings at all.
sprintf("gradtol = %e\n", mycontrol$gradtol)
makes sense.
More generally, sprintf() takes as many arguments as
you care to give it, so
cat(sprintf("tol = %e\nr
This is explained in books about S and R.
The first place to look is of course
> ?"if"
which says
Note that it is a common mistake to forget to put braces ('{ ..
}') around your statements, e.g., after 'if(..)' or 'for()'.
In particular, you should not have a newline between '}'
Let's put some numbers on that.
The CRAN package repository claims 18770 packages.
That excludes packages in other repositories, of
course; the total collection of vignettes may not
be discoverable.
It could be useful to collect documents and vignettes
and stuff them into an information retrieval s
You should probably look at the compiler.
One issue with data and control flow analysis in R is that
f <- function (x, y) x + y
f(ping, pong)
may invoke an S3 (see ?S3groupGeneric, Ops) or S4 (see ?Arith)
method, which might not have existed when f was analysed.
Indeed,
f <- function (x, y
The Fortran '08 standard says <<
One operand of type integer may be divided by another operand of type
integer. Although the mathematical
quotient of two integers is not necessarily an integer, Table 7.2 specifies
that an expression involving the division
operator with two operands of type integer
I was surprised that
> there is no consensus regarding the definition of such elementary
> functions.
>
> Göran
>
> On 2022-12-20 03:01, Richard O'Keefe wrote:
> > The Fortran '08 standard says <<
> > One operand of type integer may be divided by anothe
The simplest and best answer is "fashion".
In FSharp,
> (|>);;
val it: ('a -> ('a -> 'b) -> 'b)
The ability to turn f x y into y |> f x
makes perfect sense in a programming language
where Currying (representing a function of n
arguments as a function of 1 argument that
returns a function of n-1 arg
"Does saving of variables speed up processing" no
"or save memory" no.
The manual is quite explicit:
> ?"|>"
...
Currently, pipe operations are implemented as syntax
transformations. So an expression written as 'x |> f(y)' is
parsed as 'f(x, y)'.
Strictly speaking, using |> *doesn't* save any var
This is both true and misleading.
The shell pipe operation came from functional
programming. In fact the shell pipe operation
is NOT "flip apply", which is what |> is, but
it is functional composition. That is
out = let out = command
cmd1 | cmd2 = \x.cmd2(cmd1(x)).
Pragmatically, the Unix shell
I note that Java, for example, has changed a LOT and
a certificate from, say, 10 years ago, wouldn't impress
me much today. The same can be said of C#, and of R.
So the question would be, "what VALUE would a certificate
about R provide?"
Well, for one thing, it would be a certificate of
proficien
I am more than a little puzzled by your question.
In the construct {expr1; expr2; expr3} all of the
expressions expr1, expr2, and expr3 are evaluated,
in that order. That's what curly braces are FOR.
When you want some expressions evaluated in a
specific order, that's why and when you use curly
br
I wonder if the real confusino is not R's scope rules?
(begin .) is not Lisp, it's Scheme (a major Lisp dialect),
and in Scheme, (begin (define x ...) (define y ...) ...)
declares variables x and y that are local to the (begin ...)
form, just like Algol 68. That's weirdness 1. Javascript
had a si
plot(1,1, main=quote(x>=y))
produces the symbol for me.
plot(1,1, main=parse(text="x>=y"))
also produces the symbol.
setting value
version R version 4.2.2 Patched (2022-11-10 r83330)
os Ubuntu 22.04.1 LTS
system x86_64, linux-gnu
ui X11
language en_NZ:en
collate en_NZ.iso88
It's easy enough to do this,
the question is "what does it MEAN?"
If you overlay two graphs, what comparisons will
people naturally make, and what do
you want them to make?
What transformations on the x axis would make
two vertically aligned points about the "same" thing?
What transformations on th
fitdistrplus is a great package.
But the documentation for the fitdist function makes
something very clear:
fitdistr(data, distr, ...)
distr [is] A character string "name" naming a distribution
for which the corresponding density function dname,
the corresponding distribut
Just to repeat:
you have
NamesWide<-data.frame(Name1=c("Tom","Dick"),Name2=c("Larry","Curly"))
and you want
NamesLong<-data.frame(Names=c("Tom","Dick","Larry","Curly"))
There must be something I am missing, because
NamesLong <- data.frame(Names = c(NamesWide$Name1, NamesWide$Name2))
R *does* search the environment stack.
> search()
[1] ".GlobalEnv""package:stats" "package:graphics"
[4] "package:grDevices" "package:utils" "package:datasets"
[7] "package:methods" "Autoloads" "package:base
What you seem to be missing is that a package may contain
bindi
"wear your disc quite badly"?
If you can afford a computer with 512 GB of memory,
you can afford to pay $100 for a 2 TB external SSD,
use it as scratch space, and throw it away after a
month of use. A hard drive is expected to last for
more than 40,000 hours of constant use. Are you
sure that you
This can be seen as three steps:
(1) identify outliers
(2) replace them with NA (trivial)
(3) impute missing values.
There are packages for imputing missing data.
See
https://www.analyticsvidhya.com/blog/2016/03/tutorial-powerful-packages-imputing-missing-values/
Here I just want to address the fi
What does it mean when one column is just blank, neither a
number nor NA, just nothing?
On Fri, 21 Apr 2023 at 07:08, AbouEl-Makarim Aboueissa <
abouelmakarim1...@gmail.com> wrote:
> Dear All: the attached file in the .txt format
>
>
>
> *Re:* detect and replace outliers by the average
>
>
>
>
You can find the names of the columns of a dataframe using
colnames(my.df)
A dataframe is a value just as much as a number is, and as such,
doesn't _have_ a name. However, when you call a function in R,
the arguments are not evaluated, and their forms can be recovered,
just as "plot" does. In f
PS: lm records a copy of the call in its result, but has no other use
for any name the data frame may have had.
On Sun, 2 Jun 2019 at 14:45, Richard O'Keefe wrote:
> You can find the names of the columns of a dataframe using
> colnames(my.df)
> A dataframe is a value just as mu
How can expanding tildes anywhere but the beginning of a file name NOT be
considered a bug?
On Thu, 6 Jun 2019 at 23:04, Ivan Krylov wrote:
> On Wed, 5 Jun 2019 18:07:15 +0200
> Frank Schwidom wrote:
>
> > +> path.expand("a ~ b")
> > [1] "a /home/user b"
>
> > How can I switch off any file cri
arles wrote:
>
>
> > On Jun 6, 2019, at 2:04 PM, Richard O'Keefe wrote:
> >
> > How can expanding tildes anywhere but the beginning of a file name NOT be
> > considered a bug?
> >
> >
>
> I think that that IS what libreadline is doing if one
How about just
df$time[match(paste(df$a, df$b, df$c), c(
"co mb o1",
..
"co mb oN"))]
On Fri, 14 Jun 2019 at 08:22, Tina Chatterjee
wrote:
> Hello everyone!
> I have the following dataframe(df).
>
> a<-c("a1","a2","a2","a1","a1","a1")
> b<-c("b1","b1","b1","b1","b1","b2")
> c<-c(
You have: a square logical matrix M representing a binary relation.
You want: a similar matrix representing the least (fewest true cases)
transitive relation extending what M represents.
It sound as though you are looking for the TRANSITIVE CLOSURE.
You will find that in the 'relations' package.
Nobody else has asked the obvious question: why are the data squashed
together
like that in the first place? why not modify the process that generates the
data so that it does not do that? Jamming things together like that is not
common practice with CSV files, so what does the CSV file look lik
You did not say what your doubt about R was.
PL2.rasch has some class.
> class(PL2.rasch)
[1] 'Grofnigtz' # or whatever
The summary function is really just a dispatcher.
> summary.Grofnigtz
... a listing comes out here ...
Or you could look in the source code of whatever package you are usin.
fficulty and discrimination values directly, I just
> want the simple formulas to calculate item difficulty and item
> discrimination.
>
> Also how they have calculated theta(ability) and scores at the backend of
> the code.
>
>
>
>
>
> Sent from Mail <https://go.microsoft.
I have read your message four times in the last couple of days,
but I still have very little idea what you want.
Let's try some things I've gleaned.
You have a matrix with 9 rows and 2 columns, and there is a 2
somewhere in column 1.
> m <- matrix(1:18, nrow=9, ncol=2)
> m[c(4,7,8),1] <- 2
> m
This has nothing to do with your problem, but given the heavy use of "="
to bind keyword parameters in R, I find the use of "=" for assignment as
well confusing. It makes code harder to read than it needs to be.
The historic " <- " assignment makes the distinction obvious.
On Wed, 26 Jun 2019 at
Are you aware of https://www.tidytextmining.com/
On Mon, 1 Jul 2019 at 16:57, Mehdi Dadkhah wrote:
> Thank you!!
> Have a nice day!
> With best regards,
>
> On Mon, Jul 1, 2019 at 6:57 AM Abby Spurdle wrote:
>
> >
> > > In parts of these reports, people may state their
> > > reasons for do not
Does this help?
https://www.r-bloggers.com/computing-sample-size-for-variance-estimation/
On Wed, 3 Jul 2019 at 10:23, Thomas Subia via R-help
wrote:
> Colleagues,
> Can anyone suggest a package or code which might help me calculate the
> minimum sample size required to estimate the population v
(1) m[,1] is the first column of matrix (or dataframe) m.
(2) The first row of matrix or dataframe m is m[1,]
(3) To remove the first row of matrix or dataframe m,
do m <- m[-1,]
On Wed, 3 Jul 2019 at 08:59, Nicola Cecchino wrote:
> Hello,
>
> I am simply trying to remove the [,1] row from
Why not set all the new columns to dummy values to get the order you
want and then set them to their final values in the order that works
for that?
On Thu, 4 Jul 2019 at 00:12, Kevin Thorpe wrote:
>
> > On Jul 3, 2019, at 3:15 AM, Sebastien Bihorel <
> sebastien.biho...@cognigencorp.com> wrote:
The obvious question is "what do you mean, FORMATTED AS a matrix?"
Once you have read an object into R, you have no information about how it
was formatted.
Another question is "what do you mean, MATRIX"?
Do you mean the kind of R object specifically recognised by is.matrix,
or do you mean "rectangu
Since this has already been answered, I'll just mention one point that was
not addressed.
> d=c(1,2,3,"-","dnr","post",10)
This is rather odd.
> str(d)
chr [1:7] "1" "2" "3" "-" "dnr" "post" "10"
You can create a vector of logical values, or a vector of numbers, or a
vector of strings,
but if ther
The answer here is that in "ifelse(a < 3, ..)" you ALWAYS expect "a" to
be
a vector because there would be no point in using ifelse if it weren't.
If you believe that "a" is or ought to be a single number, you write
x <- if (a < 3) 1 else 2
The whole point of ifelse is to vectorise.
On Thu,
Expectation: ifelse will use the same "repeat vectors to match the longest"
rule that other vectorised functions do. So
a <- 1:5
b <- c(2,3)
ifelse(a < 3, 1, b)
=> ifelse(T T F F F <<5>>, 1 <<1>>, 2 3 <<2>>)
=> ifelse(T T F F F <<5>>, 1 1 1 1 1 <<5>>, 2 3 2 3 2 <<5>>)
=> 1 1 2 3 2
and that is inde
to be a quality-of-implementation bug.
On Thu, 11 Jul 2019 at 04:14, Dénes Tóth wrote:
>
>
> On 7/10/19 5:54 PM, Richard O'Keefe wrote:
> > Expectation: ifelse will use the same "repeat vectors to match the
> longest"
> > rule that other vectori
< y; r[ix]<-x[ix];
r[!ix]<-y[!ix]; r})
>user system elapsed
> 0.082 0.053 0.135
>
> -pd
>
>
> > On 12 Jul 2019, at 15:02 , Richard O'Keefe wrote:
> >
> > "ifelse is very slow"? Benchmark time.
> >> x <- runif(100)
>
ork problem.
>
> [1] https://cran.r-project.org/bin/linux/ubuntu/README.html
>
> On July 14, 2019 4:55:25 PM CDT, Richard O'Keefe wrote:
> >Four-core AMD E2-7110 running Ubuntu 18.04 LTS.
> >The R version is the latest in the repository:
> >r-base/bionic,bion
If "Fardadj was expecting R to recognise the comma as the decimal"
then it might be worth mentioning the 'dec = "."' argument of
read.table and its friends.
On Sun, 21 Jul 2019 at 12:48, Jeff Newmiller
wrote:
> It is possible that part of the original problem was that Fardadj was
> expecting R
I'm having a little trouble believing what I'm seeing.
To the best of my knowledge,
sample.info <- data.frame( + spl=paste('A', 1:8, sep=''), +
stat=rep(c('cancer' , 'healthy'), each=4))
is not legal R syntax, and R 3.6.1 agrees with me
Error: unexpected '=' in "x <- data.frame(+ spl="
Then I see
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