Dear jihee,
> On Jan 14, 2019, at 9:00 PM, 우지희 wrote:
>
> You said previously that you were using a Mac, so I'm surprised that you now
> say that you're using Windows. I don't have a Windows 7 system, but I can
> confirm that importing from Excel files works perfectly fine under Windows
>
You said previously that you were using a Mac, so I'm surprised that you now
say that you're using Windows. I don't have a Windows 7 system, but I can
confirm that importing from Excel files works perfectly fine under Windows 10,
as I just verified, and I'd be surprised if the Windows version
Hello Bernard,
You might consider using the "readxl" package, which (from the package
description), "Works on Windows, Mac and Linux without external
dependencies."
https://CRAN.R-project.org/package=readxl
HTH, Bill.
William Michels, Ph.D.
__
Dear jihee,
> On Jan 13, 2019, at 9:28 PM, 우지희 wrote:
>
>
>
> From: "우지희"
> Sent: Monday, January 14, 2019 9:40:26 AM
> To:"Fox, John"
> Subject:Re: [R] importing data error question
>
>
> Thanks for your replies.
>
> I'm using windows 7, I loaded FactoMineR,
You said previously
Hi Eric,
Yes, in fact I did mention in my 1st email that I am posting this here as the
package maintainer did not respond even after a couple of emails.
Thanks,Aveek
Sent from Yahoo Mail on Android
On Mon, Jan 14, 2019 at 2:11 PM, Eric Berger wrote:
Aveek,Did you try contacting the
Hello,
Can anyone plz help with the below problem?
Thanks,Aveek
Sent from Yahoo Mail on Android
On Wed, Dec 12, 2018 at 12:14 PM, aveek wrote:
Hello Eric,
Thanks for your response and suggestions.
I have used dput() on the R objects - sharing below so that it is possible for
anyone
Muchas gracias, Isidro;
Hice la prueba que me recomendás y con mis datos me da los mismos clusters.
La única diferencia que aprecio es el orden estético. Pero las agrupaciones
que me surgen son idénticas a hclust(x, method = 'ward.D2').
Si se te ocurre algún otro más, bienvenido será.
Juan
Hau
Hi Lionel,
Your choice of variable names is a bit odd (the roles of x and y seem to be
reversed from the usual.)
Assuming that you are looking for linear interpolation (in spite of the
subject of your email),
does the following give you what you need?
u1 <- approx(x=y1,y=x1,xout=y)
u2 <-
Hello,
I have two sets of measurement :with the same x sequence
:x1<-1:10y1<-c(5,4.6,4.4,4.2,4,3.8,3.7,3.6,3,1)
x2<-1:10y2<-c(5,4.8,4.6,4.4,4.1,4,3.8,3.6,2.8,1)
I would like to sum these two curves in terms of x for a given sequence of y
(for example : y<-c(5,4.5,4,3.5,3,2.5,2,1.5,1)), that is
> After replacing some values in a data.frame, NAs rows have appeared
> and cannot be removed.
I'm not clear why you say 'cannot be removed', which sounds quite a bit
stronger than 'I couldn't ...'.
The example you gave returned new NA rows because your logical test included
NAs (Petal.Width
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Jose
> Claudio Faria
>
> The Tinn-R project has a new web page:
> http://nbcgib.uesc.br/tinnr/en/index.php
>
Thanks for this - and thanks, also, for maintaining Tinn-R and keeping it
available as free software. The effort is
The new 1.4 version of depmixS4 has an important (and much requested!) new
feature: the possibility to request standard errors of estimated parameters
through the use of a finite differences approximation of the hessian. As
this is a critical feature we appreciate your comments and feedback when
Aveek,
Did you try contacting the package maintainer as Hans suggested?
On Mon, Jan 14, 2019 at 10:31 AM aveek wrote:
> Hello,
>
> Can anyone plz help with the below problem?
>
> Thanks,
> Aveek
>
> Sent from Yahoo Mail on Android
>
Hi
If you want to remove rows with NA values from your data you could use
?complete.cases
or
t2 <- t1[!is.na(t1$Petal.Width),]
Cheers
Petr
> -Original Message-
> From: R-help On Behalf Of Rui Barradas
> Sent: Saturday, January 12, 2019 12:55 PM
> To: Ernest Han ;
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