Re: [R] trivial syntax question!
Why can you not use the 'labels' argument as described in ?hclust (the Help system should always be the first place to look for answers to such questions): ## i.e. plot(hclust(specimens,"ward.D2"),hang=-1, labels = x[,1], ylab="distance",main="Classification des spécimens") ... or is there something about your example that I misunderstand? Cheers, Bert On Mon, May 15, 2023 at 9:17 AM Nicolas Degallier wrote: > Dear R-users, > I'm probably using R too sparsely to solve a very trivial difficulty, as I > didn't find any clear example in the tutorials on the net. > > My matrix is as follows (18 rows-individuals x 4 variables-columns: > > L/l L/L_ely L/e L/L_car > LT 1.21875 1.561.857142857 5.2 > PLT 1.290322581 1.568627451 1.904761905 5.3 > ND1 1.426470588 1.732142857 2.255813953 4.85 > ND2 1.301587302 1.673469388 1.952380952 3.037037037 > ND3 1.235294118 1.6 2.8 4.7 > JML 1.188405797 1.576923077 1.863636364 5.46667 > US1 1.338709677 1.693877551 1.886363636 5.045180795 > US3 1.3 1.67032967 2.08566708 4.832587575 > US5 1.328358209 1.679245283 2.08566708 5.045180795 > US7 1.279411765 1.673076923 2.175 4.93725 > Ml1 1.2 1.659574468 2.228571429 4.875 > Ml2a1.298507463 1.673076923 2.175 5.045180795 > Ml2b1.303030303 1.68627451 1.755102041 5.058823529 > Ml3 1.2343751.64583 1.975 4.98139 > cri 1.291338583 1.673469388 2.08566708 5.045180795 > nat 1.323529412 1.698113208 2.195121951 5.1075 > nat 1.307692308 1.603773585 2.36111 4.473684211 > Sallé 1.26667 1.648433128 1.9 7.6 > > I ran an ACP and a classification with the following script: > > library(ade4) > library(stats) > library(cluster) > > x<-read.table(file.choose (),sep="\t",header=T) # lecture des données: > spécimens en lignes, variable en colonnes séparées par des tabulations > > labels <- x[,1] # étiquettes des spécimens > > x <- x[,-1] # sélection des valeurs > > acp<- dudi.pca(x , scannf= F,scale=T,center=T,nf=4) # analyse en > composantes principales > > s.label(acp$li, xax = 1, yax = 2, labels) # affichage des étiquettes des > specimens > > s.corcircle(acp$co) # corrélation entre les variables et les axes > principaux > > mat<-dist(x) # distances entre spécimens deux à deux > > specimens<-mat > > plot(hclust(specimens,"ward.D2"),hang=-1,ylab="distance",main="Classification > des spécimens") > > The resulting dendrogram is nice but I would like to have on the resulting > plot the labels of each specimen in place of the number of the rows. > > I really would be very happy if someone has some time to complete/fix my > script or indicate an explicit tutorial. > > Cheers > Nicolas Degallier > > 120 rue de Charonne > F-75011 Paris > > > > Publications : > > https://www.documentation.ird.fr/listes/parauteur/DEGALLIER/NICOLAS/tout/annee > > « Je regarde la carte des vins pour éviter les bouchons » (Raymond Devos) > > > [[alternative HTML version deleted]] > > __ > 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://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] __ 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://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R-es] Deep learning ¿Alguna recomendación?
Muy buenas, he decidido aplicar Deep learning en mi trabajo y me he encontrado con que hay numerosos paquetes, que utilizan, además, distintos algoritmos de optimización. Encontré ejemplos muy sencillos de aplicar con los paquetes deepnet y neuralnet, pero pienso que quizás haya paquetes claramente mejores ¿Alguna recomendación? Gracias, Manuel [[alternative HTML version deleted]] ___ R-help-es mailing list R-help-es@r-project.org https://stat.ethz.ch/mailman/listinfo/r-help-es
[R] trivial syntax question!
Dear R-users, I'm probably using R too sparsely to solve a very trivial difficulty, as I didn't find any clear example in the tutorials on the net. My matrix is as follows (18 rows-individuals x 4 variables-columns: L/l L/L_ely L/e L/L_car LT 1.21875 1.561.857142857 5.2 PLT 1.290322581 1.568627451 1.904761905 5.3 ND1 1.426470588 1.732142857 2.255813953 4.85 ND2 1.301587302 1.673469388 1.952380952 3.037037037 ND3 1.235294118 1.6 2.8 4.7 JML 1.188405797 1.576923077 1.863636364 5.46667 US1 1.338709677 1.693877551 1.886363636 5.045180795 US3 1.3 1.67032967 2.08566708 4.832587575 US5 1.328358209 1.679245283 2.08566708 5.045180795 US7 1.279411765 1.673076923 2.175 4.93725 Ml1 1.2 1.659574468 2.228571429 4.875 Ml2a1.298507463 1.673076923 2.175 5.045180795 Ml2b1.303030303 1.68627451 1.755102041 5.058823529 Ml3 1.2343751.64583 1.975 4.98139 cri 1.291338583 1.673469388 2.08566708 5.045180795 nat 1.323529412 1.698113208 2.195121951 5.1075 nat 1.307692308 1.603773585 2.36111 4.473684211 Sall� 1.26667 1.648433128 1.9 7.6 I ran an ACP and a classification with the following script: library(ade4) library(stats) library(cluster) x<-read.table(file.choose (),sep="\t",header=T) # lecture des donn�es: sp�cimens en lignes, variable en colonnes s�par�es par des tabulations labels <- x[,1] # �tiquettes des sp�cimens x <- x[,-1] # s�lection des valeurs acp<- dudi.pca(x , scannf= F,scale=T,center=T,nf=4) # analyse en composantes principales s.label(acp$li, xax = 1, yax = 2, labels) # affichage des �tiquettes des specimens s.corcircle(acp$co) # corr�lation entre les variables et les axes principaux mat<-dist(x) # distances entre sp�cimens deux � deux specimens<-mat plot(hclust(specimens,"ward.D2"),hang=-1,ylab="distance",main="Classification des sp�cimens") The resulting dendrogram is nice but I would like to have on the resulting plot the labels of each specimen in place of the number of the rows. I really would be very happy if someone has some time to complete/fix my script or indicate an explicit tutorial. Cheers Nicolas Degallier 120 rue de Charonne F-75011 Paris Publications : https://www.documentation.ird.fr/listes/parauteur/DEGALLIER/NICOLAS/tout/annee � Je regarde la carte des vins pour �viter les bouchons � (Raymond Devos) [[alternative HTML version deleted]] __ 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://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] PROP_TEST function from INFER package
Hi,
You are using the prop_test() function from the infer CRAN package, with an
argument set for an example using the prop_test() function from the rstatix
CRAN package.
They are **not** the same function, and do not take the same arguments, even
though they have the same name.
Read the help page for the prop_test() function in the infer package, where 'x'
is supposed to be a data frame, not a vector, and there is no 'n' argument.
Regards,
Marc Schwartz
On May 15, 2023 at 7:26:16 AM, alfredo.rocc...@fastwebnet.it
(alfredo.rocc...@fastwebnet.it (mailto:alfredo.rocc...@fastwebnet.it)) wrote:
> Dear all,
>
> I'm trying to replicate the same example you can find in:
> https://rpkgs.datanovia.com/rstatix/reference/prop_test.html
>
> but I get the following get this error message:
>
>
>
> > library(infer)
>
> > prop_test(x = 95, n = 160, p = 0.5, detailed = TRUE)
>
> Error: Please supply a response variable that is not `NULL`.
>
> >
>
>
>
> > strsplit(version[['version.string']], ' ')[[1]][3]
>
> [1] "4.3.0"
>
> >
>
> > packageVersion("infer")
>
> [1] '1.0.4'
>
>
>
> Anybody can give any help?
>
> Thank you a lot,
>
> Alfredo
>
>
__
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://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
[R] PROP_TEST function from INFER package
Dear all,
I'm trying to replicate the same example you can find in:
https://rpkgs.datanovia.com/rstatix/reference/prop_test.html
but I get the following get this error message:
> library(infer)
> prop_test(x = 95, n = 160, p = 0.5, detailed = TRUE)
Error: Please supply a response variable that is not `NULL`.
>
> strsplit(version[['version.string']], ' ')[[1]][3]
[1] "4.3.0"
>
> packageVersion("infer")
[1] '1.0.4'
Anybody can give any help?
Thank you a lot,
Alfredo
[[alternative HTML version deleted]]
__
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://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
