search for: 2.72

## Hello there, ## I have an issue where I need to use the value of column names to multiply with the individual values in a column and I have many columns to do this over. I have data like this where the column names are numbers: mydf <- data.frame(`2.72`=runif(20, 0, 125), `3.2`=runif(20, 50, 75), `3.78`=runif(20, 0, 100), yy=

No Carlos la limitación está en la función add_model porque si utilizo randonForest fuera de esa función no existe limitación en el número de categorías de la variable de clasificación. He escrito al autor de modeval y espero también su respuesta. Además he probado a dejar el modelo con dos categorías y la función no da error. Un cordial saludo, Juan El 08/06/2017 a las 13:39, Carlos

Hello, I am trying to do a spearman correlation. My data has tied values. To overcome this issue, I am adding some random noise (values) to my original data. However when I add the random noise to the data, the final matrix does not show the new values. I guess the reason being that the noise I add is very small and the full value including the decimals gets truncated to show only the value

Gracias Carlos miraré el fix y en su defecto intentaré mandar un mensaje al autor. De todas las maneras espero que alguien lo pruebe en windows 10 Saludos, Juan El 24/09/2017 a las 20:32, Carlos Ortega escribió: > Hola Juan Antonio, > > Acabo de instalar "tree" en Mac OSX y no aparece este error... > > > shuttle1 <- shuttle[254:256, ]  # 3 missing cases >

I am trying to produce rather mundane output of the form e.g. pi, e = 3.14 2.718 The closest result I achieved so far with print() is: > print (c(pi, exp(1)), digits = 3) [1] 3.14 2.72 > print(c("pi, e =", pi, exp(1)), digits = 3) [1] "pi, e =" "3.14159265358979" "2.71828182845905" I understand that c() promotes floats to strings and

Estimados compañeros me gustaría saber si alguno ha utilizado la función add_model del paquete modeval cuando la variable de clasificación (y) tiene más de dos niveles. Porque si la utilizo con más niveles siempre me sale el error: Error: length(levels(factor((purrr::as_vector(y))))) == 2 is not TRUE Me parece muy interesante el paquete y no veo donde indica esta limitación. Un cordial

Estimados compañeros tengo un problema con la librería tm o con windows 8.1 o con algo que no controlo. Hace tiempo con windows 7 y una versión anterior de R ejecutaba este código: library(tm) data("crude") crude <- tm_map(crude, tolower) tdm<-TermDocumentMatrix(crude) y sin problemas me creaba tdm. Ahora si lo ejecuto me da el siguiente error: Error: inherits(doc,

Estimados compañeros, hoy me ha surgido una duda, quizás trivial, pero que no encuentro sentido. Tengo un bucle con el siguiente código: for (i in 1:n) { if (rango_inr1[i]==1 & (inr[i]>= 2 & inr[i]<= 3)) cinr[i]<-1 if (rango_inr1[i]==2 & (inr[i]>= 2.5 & inr[i]<= 3.5)) cinr[i]<-2 if (rango_inr1[i]==3 & (inr[i]>= 2 & inr[i]<= 2.9)) cinr[i]<-3 if

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Below are the results for the Polyhedron 2005 benchmarks compiled with llvm/compiler-rt/dragonegg 3.3svn at r182439 against current FSF gcc 4.7.3svn and 4.8.1svn. The only major bug remaining in the dragonegg 3.3svn support for gcc 4.8.x is http://llvm.org/bugs/show_bug.cgi?id=15980 which results in unresolved symbols for _iround and _iroundf in the aermod and rnflow testcases. Note that this

A little while ago I asked a question on CFE-Dev about a change in the behaviour of programs using the ISO C math functions, although that question should have been put to LLVM-Dev. But I got excellent clarification of the problem anyway. However, since then I have been trying to adapt our out-of-tree implementation to get the previous behaviour. The problem is that something like: #include

Estimados compañeros hace unos días instale la versión última de R (3.4.1) en windows 10 y hoy me tiene loco el siguiente error cuando ejecuto predict para un árbol de clasificación-regresión. El problema da incluso con el ejemplo del comando predict library(tree) data(shuttle, package="MASS") shuttle.tr <- tree(use ~ ., shuttle, subset=1:253, mindev=1e-6,

Duncan, With r182593, the dragonegg 3.3 branch now completely passes the Polyhedron 2005 benchmarks using the FSF gcc 4.8.1svn compiler. Thanks. Jack Tested on x86_apple-darwin12 Compile Flags: -ffast-math -funroll-loops -O3 de-gfortran47: /sw/lib/gcc4.7/bin/gfortran -fplugin=/sw/lib/gcc4.7/lib/dragonegg.so -specs=/sw/lib/gcc4.7/lib/integrated-as.specs de-gfortran48:

dear R-users, I am facing a quite regular and basic problem when it comes to dealing with datasets, but I cannot find any satisfying answer so far. I have a messy dataset of galaxies like that : And XVIII 000214.5+450520 0.69 17 9 0.00 -8.7 26.8 6.44 6.78 < 6.65 -44 0.5 MESSIER031 0.6 1.54 PAndAS-03 000356.4+405319 0.10 17 0.00 -3.6 27.8 4.38

At 23:25 3/15/2001 -0500, you wrote: >Asym, > >What streaming program are you using? I'm using icecast 1.3.10 with meta >data turned on and it doesn't want to list on yp.shoutcast.com. Can you >e-mail me your icecast.conf and your streaming config file via e-mail? >Thanks... I'm running icecast 1.3.10 on FreeBSD 3.5-Stable, and my source is Winamp 2.72 w/

On Wed, May 29, 2013 at 03:25:30PM +0200, Duncan Sands wrote: > Hi Jack, I pulled the loop vectorizer and fast math changes into the 3.3 branch, > so hopefully they will be part of 3.3 rc3 (and 3.3 final!). It would be great > if you could redo the benchmarks rc3. > Duncan, As requested, appended are the updated Polyhedron 2005 benchmark results with both RC1 and RC3 llvm 3.3

Hello, tl;dr: it seems like fsck fails to notice when the block device disappears from under it. I have the following setup: * external USB disk * a partition with LUKS in it * ext4 filesystem inside the LUKS block device While doing backups to it I noticed that after some time backups would fail with an error (failed to write, ). In the following log I'm attaching the disk, enabling LUKS

I've tried to avoid windows whenever possible because it is so difficult to understand and use, besides the bugs. I've been forced to it for income tax, however. Since so many customers of pan.zipcon.net use windows, I feel an obligation to have a better acquaintence with it. I have not as yet tried any builds just available binaries. I intend to write up instructions for novices in my

Hi, It's probably a simple issue but I'm struggling with that. I'll use the example shown in the help page. head(Indometh) wide <- reshape(Indometh, v.names="conc", idvar="Subject", timevar="time", direction="wide") head(wide) reshape(wide, idvar="Subject", varying=list(2:12), v.names="conc",

Full_Name: Leung Pui Lam Version: 2.72 OS: Window XP Submission from: (NULL) (137.189.4.4) When I installed R2.72 (actually any version >2.62) on Window XP (Traditional Chinese), I found the following error Error in structure(.Internal(Sys.getenv(as.character(x), as.character(unset)$ unsupported conversion ... Error in file.exists(name) : unsuported conversion in 'filenameToWchar'