Need to kill some time, so thought I'd Opine.
Given the intent, as I understood it... to extract components from a quantile
regression (rq) object similar to how one might extract effects from an lm
object.
Since it seems effects() is not implemented for rq, here are some alternative
approach
Dear R-experts,
I really thank you all for your responses.
Best,
Le dimanche 14 janvier 2024 à 10:22:12 UTC+1, Duncan Murdoch
a écrit :
On 13/01/2024 8:58 p.m., Rolf Turner wrote:
> On Sat, 13 Jan 2024 17:59:16 -0500
> Duncan Murdoch wrote:
>
>
>
>> My guess is that one of the boot
On 13/01/2024 8:58 p.m., Rolf Turner wrote:
On Sat, 13 Jan 2024 17:59:16 -0500
Duncan Murdoch wrote:
My guess is that one of the bootstrap samples had a different
selection of countries, so factor(Country) had different levels, and
that would really mess things up.
You'll need to decide how
On Sat, 13 Jan 2024 17:59:16 -0500
Duncan Murdoch wrote:
> My guess is that one of the bootstrap samples had a different
> selection of countries, so factor(Country) had different levels, and
> that would really mess things up.
>
> You'll need to decide how to handle that: If you are trying t
Hi, today I came across the same problem. And, I'm able to explain it with
an example as well.
Suppose I want to PDF or P(X=5) in Geometric Distribution with P = 0.2.
The theoretical formula is P * (1-P) ^ (x -1). But the R function dgeom(x,
p) works like P * (1-P) ^ x, it does not reduce 1 from
Please delete drjimle...@gmail.com from your mailing lists. He passed away
a mknth ago.
Regards,
Juel
Wife
On Tue, 17 Oct 2023, 22:58 Sahil Sharma -- Forwarded message -
> From: Sahil Sharma
> Date: Tue, Oct 17, 2023 at 12:10 PM
> Subject: r-stats: Geometric Distribution
> To:
>
В Tue, 17 Oct 2023 12:12:05 +0530
Sahil Sharma пишет:
> The original formula for Geometric Distribution PDF is
> *((1-p)^x-1)*P*. However, the current r function *dgeom(x, p)* is
> doing this: *((1-p)^x)*P, *it is not reducing 1 from x.
Your definition is valid for integer 'x' starting from 1. (
Hi Upananda,
A few comments:
1. As you know, CRAN has thousands of packages. One of the ways to
learn about the packages you might care about is to use the CRAN
views. A 'view' is an attempt to provide some information on a certain
subset of the packages related to a particular area.
See a list of
On Thu, 29 Sep 2022, Nick Wray writes:
> -- Forwarded message -
> From: Nick Wray
> Date: Thu, 29 Sept 2022 at 15:32
> Subject: Re: [R] Reading very large text files into R
> To: Ben Tupper
>
>
> Hi Ben
> Beneath is an example of the text (also in an attachment) and it's the "B",
On Thu, 2 Dec 2021 at 12:40, Ivan Krylov wrote:
>
>
> The \(arguments) syntax has been introduced in R 4.1.0:
> https://cran.r-project.org/doc/manuals/r-release/NEWS.html (search for
> "\(x)"). It is the same as function(arguments).
>
> The only benefit is slightly less typing; could be useful if
On Thu, 2 Dec 2021 12:23:27 +0100
Martin Møller Skarbiniks Pedersen wrote:
> Is that exactly the same as:
> f <- function(x,y) x * y
> ?
>
> Is there any benefit to the first or second way to define a function?
The \(arguments) syntax has been introduced in R 4.1.0:
https://cran.r-project.org/d
Anyone could write a function named prob.def1, and it is not part of base R so
it is off-topic here and there is no way for people on this list to
definitively know the answer. As far as Google can tell me it is not from CRAN
either. OP should go talk to whoever wrote this code.
On November 26,
Hi Gabrielle,
I get the feeling that you are trying to merge data in which each file
contains different variables, but the same subjects have contributed
the data. This a very wild guess, but it may provide some insight.
# assume that subjects are identified by a variable named "subjectID"
# creat
On 02/11/2021 6:30 p.m., gabrielle aban steinberg wrote:
Hello, I would like to merge 18 csv files into a master data csv file, but
each file has a different number of columns (mostly found in one or more of
the other cvs files) and different number of rows.
I have tried something like the follo
Newmiller
Sent: Wednesday, November 3, 2021 1:22 PM
To: r-help@r-project.org; Robert Knight ; gabrielle
aban steinberg
Cc: r-help
Subject: Re: [R] Fwd: Merging multiple csv files to new file
Data type in a CSV is always character until inferred otherwise... it is not
necessary nor even easier
>(Maybe the R Studio free trial/usage is underpowered for my project?)
- R is a computer language, as well as a program for interpreting R source code.
- RStudio Desktop is an editor with "features" intended to make using R easy.
It cannot "do" anything without R being installed.
- R is completel
Data type in a CSV is always character until inferred otherwise... it is not
necessary nor even easier to manipulate files with Python if you are planning
to use R to manipulate the data further with R. Just use the
colClasses="character" argument for read.csv.
On November 3, 2021 9:47:03 AM PD
The error message arises because you are sometimes delimiting character
strings using non-ASCII open and close double quotes, '“' and '”', instead
of the old-fashioned ones, '"', which have no open or close variants. This
is a language syntax error, so R didn't try to compute anything.
The others
It might be easier to settle on the desired final csv layout and use Python
to copy the rows via line reads. Python doesn't care about the data type
in a given "cell", numeric or char, whereas the type errors R would
encounter would make the task very difficult.
On Wed, Nov 3, 2021, 10:36 AM gabr
I should have added that once read into R, the collection of data frames
(presumably) can also be saved in one .Rdata file via save() **without**
first combining them into a list. I still prefer keeping them together as
one list in R, but that's up to you.
Bert Gunter
"The trouble with having an
1. Think more carefully about the appropriate data structure for what you
wish to do. It's unlikely to be .csv files, however.
In the absence of the above, a simple (but perhaps inappropriate) default
is:
2. Read the files into R and combine into a list.(You will need to read
about lists in R if
Gabrielle,
Why would you expect that to work?
rbind() binds rows of internal R data structures that are some variety of
data.frame with exactly the same columns in the same order into a larger object
of that type.
You are not providing rbind() with the names of variables holding the info but
Javad,
you might think of asking in the r-sig-geo e-mail list?
: r-sig-...@r-project.org
cheers.
__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://w
Right, Bert, but not if X is "only" matrix. ;-)
> X <- cbind(X1 = letters[1:3],
X2 = 5:7,
X3 = LETTERS[1:3]
)
> do.call(paste0, X)
Fehler in do.call(paste0, X) : das zweite Argument muss eine Liste sein
(Sorry, but my system is German. :-))
But, of course, then, e.g.,
do
Inline comment below.
Cheers,
Bert
Bert Gunter
"
or, if stored as columns of a matrix or data frame X, e.g.,
>
> ##
> apply(X, 1, paste0)
>
##
"
No. paste() is vectorized. apply() can be avoided:
> df <- data.frame(X1 = letters[1:3],
X2 = 5:7,
Hello, I am sorry but after settings the value of C between 1 and 7, I get
the following error message now:
Error in self$assert(xs) :
Assertion on 'xs' failed: The parameter 'C' can only be set if the
following condition is met 'type {eps-svr, eps-bsvr}'. Instead the
parameter value for 'type'
Thanks a lot, Milne and Patrick.
I am going to change the values, hopefully the error message will disappear.
Warm regards
On Tue, Dec 29, 2020 at 5:53 PM Patrick (Malone Quantitative) <
mal...@malonequantitative.com> wrote:
> Likely, yes. Your error message says k must be at least 1, so search
Likely, yes. Your error message says k must be at least 1, so searching
below 1 is probably your issue.
Also, logically, zero nearest neighbors doesn't seem to make a lot of sense.
Pat
On Tue, Dec 29, 2020 at 11:01 AM Neha gupta
wrote:
> Thank you for your response.
>
> Are you certain that k
Thank you for your response.
Are you certain that k = 0 is a legitimate setting?
Since, the default value of k is 1, I wanted to search between the values
of 0 to 3.
Milne, Do you mean I have to provide both the lower and upper bounds
greater than 1 in order to get rid of this error?
On Tue, D
I am using mlr3 'fast nearest neighbor' leaner i.e. fnnIts parameter is 'k'
which has a default value of 1. When I use tuningusing random search, I set the
parameter of k as: lower= 0, upper=3But it gives an error messageError in
self$assert(xs) : Assertion on 'xs' failed: k: Element 1 is not >
Dear all,
the exclude and constant.weights options are used as follows:
exclude: A matrix with n rows and 3 columns will exclude n weights. The the
first column refers to the layer, the second column to the input neuron and the
third column to the output neuron of the weight.
constant.weights:
Hello thanks everyone for your help i managed to get a working function as
followed:
for(i in 2:length(list_df)){
list_df[[paste0("position_tab_",i)]][['ID']] <-
unlist(lapply(list_df[[paste0("position_tab_",i)]][['midpoint']],
function(x)
ifelse(any(abs(x - list_df[[paste0("position_tab_",i-1)
Perhaps the following will be helpful (you can ignore the warning message
here):
> set.seed(1001)
> x <- sample(1:5,10, rep = TRUE)
> y <- sample(1:5,12, rep = TRUE)
> n <- seq_len(min(length(x), length(y)))
> flag <- as.numeric(abs(x-y)[n] <= 1)
Warning message:
In x - y : longer object length is
*I hope this is more succinct.*
*I have the following code: *
list_df$position_tab_5$ID <- unlist(lapply(list_df$position_tab_5$midpoint,
function(x) ifelse(any(abs(x - list_df$position_tab_4$midpoint) <= 1),1,0)))
It compares every observation from the midpoint column from dataframe 2 to
every
Hi Kathan,
How about trying to create a *minimal* reproducible example, e.g. with a
list of two data frames, where each data frame has 5 rows,?
My guess is that there is a good chance that when you try to create such an
example, you will discover the problem yourself.
In the event that you create t
Wrong list. Way wrong. Pay attention to the Posting Guide.
The correct list would be the Rcpp-devel. If your question were less specific,
then r-package-devel. But absolutely not r-help.
There are known issues with Rcpp being fixed right now on the fly... go read
the recent archives for Rcpp-de
Trickier, but shorter:
> lapply(u,'[',1)
$a
[1] 1
$b
[1] "a"
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Fri, Jan 17, 2020 at 10:04 PM Eric Berger wrote:
Or simply
lapply(u, "[", 1)
$a
[1] 1
$b
[1] "a"
Cheers
Petr
> -Original Message-
> From: R-help On Behalf Of Eric Berger
> Sent: Thursday, January 16, 2020 1:36 PM
> To: R mailing list
> Subject: [R] Fwd: Extracting a particular column from list
>
> [Putting back onto r-help]
>
> Yo
No, sorry, I misunderstood your question.
a) Read the NAMESPACE file of package B? If they use importFrom that would be
specific enough.
b) "Suggests" can refer to usage that does not even appear in the loaded
package at all.
c) Try asking in the r-package-devel mailing list?
On January 3, 20
On 03/01/2020 4:45 p.m., Hans W Borchers wrote:
You are absolutely right. I forgot that there is a difference between
the unpacked and the installed directory of a package. The
documentation of the *pkgapi* package in development is quite scarce
and does not mention the details. Thanks for the ti
Jeff, the problem is:
There I see the packages that depend on mine, but not which functions are used
Or maybe I misunderstood your comment.
On Fri, 3 Jan 2020 at 22:49, Jeff Newmiller wrote:
>
> If you are so lucky as to have this problem, perhaps you could take a look at
> the reverse dependenc
If you are so lucky as to have this problem, perhaps you could take a look at
the reverse dependencies on your packages' CRAN web page.
On January 3, 2020 1:45:42 PM PST, Hans W Borchers wrote:
>You are absolutely right. I forgot that there is a difference between
>the unpacked and the installed
This is probably a suboptimal list for your message. If you have not
already done so, you should post it to R-package-devel and the
Bioconductor development list,
https://stat.ethz.ch/mailman/listinfo/bioc-devel .
Cheers,
Bert Gunter
"The trouble with having an open mind is that people keep co
Hello, Jun,
try
split(df, f = factor(df$C, exclude = NULL))
For more info see ?factor, of course.
Regards -- Gerrit
-
Dr. Gerrit Eichner Mathematical Institute, Room 212
gerrit.eich...@math.uni-giessen.de
Thank you very much Jim and David for your scripts and accompanying
explanations.
I was intrigued at the results that came from David's script. As seen
below where I have taken a small piece of his DataTable:
AT1G69490 AT1G29860 AT4G18170 *AT5G46350*
AT1G01560 0 0 0 1
*AT1G02920
Hi again,
Just noticed that the NA fill in the original solution is unnecessary, thus:
# split the second column at the commas
hitsplit<-strsplit(mmdf$hits,",")
# get all the sorted hits
allhits<-sort(unique(unlist(hitsplit)))
tmmdf<-as.data.frame(matrix(NA,ncol=length(hitsplit),nrow=length(allhit
Hi Matthew,
I'm not sure whether you want something like your initial request or
David's solution. The result of this can be transformed into the
latter:
mmdf<-read.table(text="Regulator hits
AT1G69490
AT4G31950,AT5G24110,AT1G26380,AT1G05675,AT3G12910,AT5G64905,AT1G22810,AT1G79680,AT3G02840,AT5G2
We still have only the toy version of your data from your first email. The
second email used dput() as I suggested, but you truncated the results so it is
useless for testing purposes.
Use the following code after creating DataList (up to mx <- ... ) in my earlier
answer:
n <- sapply(DataList,
Thank you very much, David and Jim for your work and solutions.
I have been working through both of them to better learn R. They both
proceed through a similar logic except David's starts with a character
matrix and Jim's with a dataframe, and both end with equivalent
dataframes ( identical(tm
If you read the data frame with read.csv() or one of the other read()
functions, use the asis=TRUE argument to prevent conversion to factors. If not
do the conversion first:
# Convert factors to characters
DataMatrix <- sapply(TF2list, as.character)
# Split the vector of hits
DataList <- sapply(
tario, Canada
> Web: https://socialsciences.mcmaster.ca/jfox/
>
>
>
>
> > -Original Message-----
> > From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Eric
> > Bridgeford
> > Sent: Tuesday, April 2, 2019 5:01 PM
> > To: Bert Gunter
rstudent calls influence, to my knowledge, and all of the results passed by
rstudent are dependent on values returned by influence (other than the
weights, which I can't imagine are NaN), so I believe that influence is the
issue. See the line
https://github.com/SurajGupta/r-source/blob/a28e609e72ed
io, Canada
> Web: https://socialsciences.mcmaster.ca/jfox/
>
>
>
>
>> -Original Message-
>> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Eric
>> Bridgeford
>> Sent: Tuesday, April 2, 2019 5:01 PM
>> To: Bert Gunter
>>
ic
> Bridgeford
> Sent: Tuesday, April 2, 2019 5:01 PM
> To: Bert Gunter
> Cc: R-help
> Subject: Re: [R] Fwd: Potential Issue with lm.influence
>
> I agree the influence documentation suggests NaNs may result; however, as
> these can be manually computed and are, ind
Hi Eric,
When I run your code (using the MASS library) I find that
rstudent(fit2) also returns NaN in the seventh position. Perhaps the
problem is occurring there and not in the "influence" function.
Jim
On Wed, Apr 3, 2019 at 9:12 AM Eric Bridgeford wrote:
>
> I agree the influence documentatio
I agree the influence documentation suggests NaNs may result; however, as
these can be manually computed and are, indeed, finite/existing (ie,
computing the held-out influence by manually training n models for n points
to obtain n leave one out influence measures), I don't possibly see how the
func
How can I add attachments? The following two files were attached in the
initial message
On Tue, Apr 2, 2019 at 3:34 PM Bert Gunter wrote:
> Nothing was attached. The r-help server strips most attachments. Include
> your code inline.
>
> Also note that
>
> > 0/0
> [1] NaN
>
> so maybe something l
Also, I suggest you read ?influence which may explain the source of your
NaN's .
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Tue, Apr 2, 2019 at 1:29 PM Ber
I told you already: **Include code inline **
See ?dput for how to include a text version of objects, such as data
frames, inline.
Otherwise, I believe .txt text files are not stripped if you insist on
*attaching* data or code. Others may have better advice.
Bert Gunter
"The trouble with having
Nothing was attached. The r-help server strips most attachments. Include
your code inline.
Also note that
> 0/0
[1] NaN
so maybe something like that occurs in the course of your calculations. But
that's just a guess, so feel free to disregard.
Bert Gunter
"The trouble with having an open mind
You may be calling a function when you think you are referring to an array.
You can reproduce this error message as follows:
f <- function(x) {x}
f[1]
HTH,
Eric
On Mon, Apr 1, 2019 at 5:49 PM Simrit Rattan
wrote:
> hey everyone :),
> Subject: Re: Error message: object of type 'closure' is not
Hi Javed,
Easy.
A<-c(2000,2100,2300,2400,6900,7000,7040,7050,7060)
median(A)
[1] 6900
B<-c(3300,3350,3400,3450,3500,7000,7100,7200,7300)
median(B)
[1] 3500
wilcox.test(A,B,paired=FALSE)
Wilcoxon rank sum test with continuity correction
data: A and B
W = 26.5, p-value = 0.233
alternative
Any reasonable test of whether two samples differ should be scale and
location invariant. E.g., if you measure temperature it should not matter
if you units are degrees Fahrenheit or micro-Kelvins. Thus saying the
medians are 3500 and 6200 is equivalent to saying they are 100.035 and
100.062: it
> This is my function:
>
> wilcox.test(A,B, data = data, paired = FALSE)
>
> It gives me high p value, though the median of A column is 6900 and B
> column is 3500.
>
> Why it gives p value high if there is a difference in the median?
Perhaps becuase a) because you are testing the wrong data or
We've had this conversation.
A) This is off-topic for R-Help. Your question is about the statistical test,
not about the R coding.
B) A difference in sample statistics, whether or not it "looks" large, is not
sufficient for statistical significance.
On 3/19/19, 12:48 PM, "R-help on behalf of
Hi Meriam,
I don't have the packages loaded that you use, but a first guess would
be to start a wider device. For example, the default x11 device is
7x7, so:
x11(width=10)
would give you a rectangular output device that might move the columns
of labels outward. The same applies for any other devi
Yes I know. Sorry if I reposted this but it's simply because I've
received an email mentioning that the file was too big that's why I
modified my question and reposted it.
I don't want to oblige anyone to respond. I really thought the issue
was my file (too big so nobody received it).
Thanks for y
This is the 3rd time you've posted this. Please stop re-posting!
Your question is specialized and involved, and you have failed to provide a
reproducible example/data. We are not obliged to respond.
You may do better contacting the maintainer, found by ?maintainer, as
recommended by the posting g
Is the file being saved as .xls, .xlsx, .csv, .tsv, or .txt?
On Wed, Dec 26, 2018 at 10:14 PM Spencer Brackett <
spbracket...@saintjosephhs.com> wrote:
> Follow up,
>
> Would read.txt also work, as I am certain that I have both datasets in
> .txt files? As to a previous users question concern th
Follow up,
Would read.txt also work, as I am certain that I have both datasets in .txt
files? As to a previous users question concern the .csv nature of the
supposed excel file, I am uncertain as to how this was translated as such.
The file is most certainly in excel.
On Thu, Dec 27, 2018 at 12:
Caitlin,
I tried your command in both RGui and RStudio but both came up as errors.
I believe I made a mistake somewhere I labeling/downloading the files,
which is the source of the confusion in R. I will re-examine the files
saved on my desktop to determine the error. Regardless, would it be bet
Does this help Spencer? The read.delim() function assumes a tab character by
default, but I specifically included it using the read.csv function. The
downloaded file is NOT an Excel file so this should help.
GBM_protein_expression <- read.csv("C:/Users/Spencer/Desktop/GBM
protein_expression.tsv
this is wrong because the file is a csv file. read_excel is designed
for xls files.
GBM_protein_expression <- read_excel("C:/Users/Spencer/Desktop/GBM
protein_expression.csv")
How did you get a csv? it downloads as tsv.
the statement you should use is in base, no library() statement is needed.
Sorry, my mistake.
So I could still use read.table and should I try using a .txt version of
the file to avoid the silent changes you described?
Also, when I tried to simply this process by downloading the dataset onto
RStudio opposed to R (Gui) I received the following...
library(readxl)
> GBM_p
Please always reply-all to keep the list involved.
If you used Save As to change the data format to Excel AND the file extension
to xlsx, then yes, you should be able to read with readxl. I don't recommend
it, though... Excel often changes data silently and in irregularly located
places in your
CSV and TSV are not Excel files. Yes, I know Excel will open them, but that
does not make them Excel files.
Read a TSV file with read.table or read.csv, setting the sep argument to "\t".
On December 26, 2018 7:26:35 PM PST, Spencer Brackett
wrote:
>I tried importing the file without preview an
> Bert Gunter
> on Wed, 8 Aug 2018 08:21:05 -0700 writes:
> (From Jeff Newmiller) "My advice is to enter one line of
> each example at a time and study what it does before
> proceeding to the next line. Copying whole swathes of code
> and marveling at the result is exh
Thanks a lot! I got the main part working (after a relaxing holiday).
However I still have some problems with the conditions. The looping is not
working properly, but this is not really an QP problem anymore. It's more
about that R runs the loop differently than c++, I guess.
Thanks a lot for help
Farshad,
On Sun, 8 Jul 2018 at 09:29, Farshad Fathian wrote:
>
> Thank you so much for your reply. But when I install the "RWinEdt" package,
> the R unable to install it. I see the below warning:
>
> "Error: package or namespace load failed for ‘RWinEdt’:
> package ‘RWinEdt’ was installed by an R
I recommend that you post the output of sessionInfo() and copy-paste the
commands you attempted to use that failed.
Note that I don't use this package or its associated non-free editor, but the
CRAN installation check shows no significant problems, though the package
hasn't been updated recentl
Thank you so much for your reply. But when I install the "RWinEdt" package,
the R unable to install it. I see the below warning:
"Error: package or namespace load failed for ‘RWinEdt’:
package ‘RWinEdt’ was installed by an R version with different internals;
it needs to be reinstalled for use wit
Read the vignette at [1], which mentions the Read me.txt file [2]. I found both
links using Google... you could too.
[1] https://cran.r-project.org/web/packages/RWinEdt/index.html.
[2] https://github.com/cran/RWinEdt/blob/master/inst/ReadMe.txt
On July 8, 2018 7:08:53 AM PDT, Farshad Fathian
w
G'day Maija,
On Wed, 27 Jun 2018 08:48:08 +0300
Maija Sirkjärvi wrote:
> Thanks for your reply! Unfortunately something is still wrong.
>
> After the transpose, dvec and Amat are still incompatible.
>
> > d <- -hsmooth
> > dvec <- t(d)
> > c <- dvec*Amat
> Error in dvec * Amat : non-conforma
Thanks for your reply! Unfortunately something is still wrong.
After the transpose, dvec and Amat are still incompatible.
> d <- -hsmooth
> dvec <- t(d)
> c <- dvec*Amat
Error in dvec * Amat : non-conformable arrays
Moreover, I don't understand the following:
> If dvec is of length *J*, then b
sos::findFn('{quadratic programming}') just identified 156 help
pages in 68 packages containing the term "quadratic programming". The
function mentioned by Berwin Turlach, "solve.QP", is in package
"quadprog", which has not been updated since 2016-12-20. I've used
qudprod successfully,
The recommended (see the Posting Guide) way to resolve questions like this is
to post a reproducible example so we can see the problem occur in our R
session. There are a number of Internet resources that can help you get this
right such as [1][2][3].
Note that one key to success is to learn ho
G'day all,
On Tue, 26 Jun 2018 11:16:55 +0300
Maija Sirkjärvi wrote:
> It seems that my Amat and dvec are incompatible. Amat is a matrix of
> zeros size: *2*J-3,J* and dvec is a vector of length *J*. There
> should be no problem, but apparently there is. [...]
solve.QP solves the quadratic prog
Thanks for the reply!
dvec, thus hsmooth, has the same length J. It shouldn't be the problem.
2018-06-26 11:24 GMT+03:00 Eric Berger :
> The statement
>
> dvec <- -hsmooth
>
> looks like it might be the source of the problem, depending on what
> hsmooth is.
>
>
> On Tue, Jun 26, 2018 at 11:16 AM
The statement
dvec <- -hsmooth
looks like it might be the source of the problem, depending on what hsmooth
is.
On Tue, Jun 26, 2018 at 11:16 AM, Maija Sirkjärvi wrote:
> Thanks for the reply! I got that figured out, but still have some problems
> with the quadratic programming.
>
> It seems
Thanks for the reply! I got that figured out, but still have some problems
with the quadratic programming.
It seems that my Amat and dvec are incompatible. Amat is a matrix of zeros
size: *2*J-3,J* and dvec is a vector of length *J*. There should be no
problem, but apparently there is. The piece o
Keep replies on list please.
You are not accessing a value from vector Q if you access the zero'th element!
R > Q <- c(3, 5, 8)
R > Q[0]
numeric(0)
R > Q[1]
[1] 3
R > Q[2]
[1] 5
In the first iteration of the loop j is 2 thus j-2 is 0 and that's the reason
for the error message: you are trying to
Q[j-2] gives you Q[0] in your first inner loop iteration.
R arrays start at one.
B.
> On 2018-06-13, at 07:21, Maija Sirkjärvi wrote:
>
> Amat[J-1+j-2,j-1]= 1/(Q[j] - Q[j-1]) + 1/(Q[j-1] - Q[j-2])
__
R-help@r-project.org mailing list -- To UNSUBSC
Hi Mohammad,
The plot you attached suggests that the underlying distribution may be
a mixture. Is there anything in your data that would explain this,
such as laden/unladen, uphill/downhill, different road surface?
Jim
On Mon, Apr 16, 2018 at 11:31 PM, Mohammad Areida wrote:
> Hi, I do not know
> When I look at the SASxport::read.xport function code, it is in fact,
_not_ the
> same function. But it does have the R statement about what it thinks
> qualifies as a SAS xprot file:
>
> xport.file.header <- "HEADER RECORD***LIBRARY HEADER
> RECORD!!!00
"
>
> On Apr 14, 2018, at 12:18 PM, WRAY NICHOLAS via R-help
> wrote:
>
>
> Original Message --
> From: WRAY NICHOLAS
> To: peter dalgaard
> Date: 14 April 2018 at 20:18
> Subject: Re: [R] Reading xpt files into R
>
>
> Well yesterday I'd downloaded the "foreign" package and t
Does read.xport read both version 5 and version 8 xpt files? This link to
the Library of Congress can get you started on how to interpret the
header. (It states that Version 8 was introduced in 2012 but was not in
wide use as of early 2017.)
https://www.loc.gov/preservation/digital/formats/fdd/f
You can record the time to evaluate each line by wrapping each line in a
call to system.time(). E.g.,
expressions <- quote({
# paste your commands here, or put them into a file and use exprs <-
parse("thatFile")
d.dir <- '/Users/darshanpandya/xx'
FNAME <- 'my_data.csv'
d.input <- fre
I've found the solution to compile the adv-r-book from source: After doing some
settings (see:
https://travis-ci.org/hadley/adv-r/jobs/353347080/config )
and installation of netlify-cli, the command-line is:
Rscript -e 'bookdown::render_book("index.Rmd","bookdown::pdf_book")'
This works fine. T
I've found two problems in interpreting adv-r-master/book/build-book.r:
1. All pathes in build-book.r refer to the starting-directory "adv-r-master".
However, the script build-book.r is located in the directory "book", which is
located in directory "adv-r-master". Therefore, pathes starting at "
On Wed, 14 Mar 2018, Jeff Newmiller wrote:
Nothing you have said tells me you have LaTeX working (a binary install of
R does not depend on it), but if you actually know it is installed and
available to R then that isn't the problem. Since you have not said what
you actually did or what errors yo
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