Hello,
I'm using the 'Marmap' R package to create ocean bathymetry maps. I've managed
quite well, but I'm having a little difficulty with setting my x-axis
(longitude) limits. When I run the code, the map is projected with large white
bands on either side of the desired longitude limits. I've
Hola Luis,
Pero son tus argumentos correctos? Yo no veo un método "s".
diversitycomp(x, y = NULL,
factor1 = NULL ,factor2 = NULL,
index=c("Shannon", "Simpson", "inverseSimpson", "Logalpha", "Berger",
"richness", "abundance", "Jevenness", "Eevenness",
"jack1", "jack2",
Please cc the list. It's too much trouble for me, but maybe not for someone
else.
Bert
On Feb 15, 2017 6:02 PM, "Brady Richter" wrote:
> Bert,
>
>
>
> I’m 46- I don’t get homework. Just looking for a bit of help getting
> started organizing the loop structure, but
Homework?
If so, we don't do hw here. Otherwise, we usually ask people to show us
their failed coding efforts rather than expecting us to do the problem for
them. Please read and follow the posting guide.
Cheers,
Bert
On Feb 15, 2017 10:25 AM, "Brady Richter" wrote:
I'm trying to validate the results of an "Expanded Gage R Study" in
Minitab using R and lme4, but I can't get the numbers to match up in
certain situations. I can't tell whether my model is wrong, my data is
bad, or something else is going on.
For instance, here's some data for which the results
La función rbindlist del paquete data.table debería servir:
a <- data.frame(a = rep("a", 10), b = rep(10, 10))
b <- data.frame(a = rep("b", 20), b = rep(12, 20))
lista <- list(a, b)
library(data.table)
zz <- rbindlist(lista)
Saludos,
Rubén
[[alternative HTML version deleted]]
You could also call this "interesting example" a bug.
Clearly not enough code reuse in the implementation of tapply().
Instead of the current 25 lines of code, it could be a simple
wrapper around split() and sapply() e.g.. something like:
tapply2 <- function(X, INDEX, FUN=NULL, ...,
Hi Malgorzata,
The function "rxnrate" seems to want three values in a list with the
names "k1", "k2" and "k3". If you are passing something with different
names, it is probably going to complain, so the names "A", "B" and "C"
may be your problem. I can't run the example, so this is a guess.
Jim
Hola,
También con "purrr" puedes hacer esto directamente:
library(purrr)
my_list <- flatten_df(post_ss)
Saludos,
Carlos Ortega
www.qualityexcellence.es
El 15 de febrero de 2017, 21:44, Víctor Granda García <
victorgrandagar...@gmail.com> escribió:
> Este script hace lo que quieres usando
Como ha comentado Xavier Tibau antes, todo el problema se soluciona usando
bind_rows del paquete dplyr:
library(dplyr)
foo <- bind_rows(tabla1, tabla2, tabla3, tabla4)
sin complicarse mucho la vida (salvo instalar dplyr). Según la ayuda de
bind_rows: "columns are matched by name, and any values
Este script hace lo que quieres usando dplyr y purrr (tidyverse, ultima
version disponible), lo adjunto también por si en el correo no se ve bien
library(purrr)
library(dplyr)
foo <- post_ss %>%
# primero juntamos los tres data frames de cada elemento de la lista
purrr::at_depth(1,
It seems like this should be consistent with split(), since that's
what actually powers the behaviour.
Reading the description for split leads to this rather interesting example:
tapply(mtcars, 1:11, I)
Hadley
On Tue, Feb 14, 2017 at 7:10 PM, Hervé Pagès wrote:
> Hi,
>
>
Carlos,
Creo que el problema esta en que biodiversityR que al alcalizare el parámetro
“method “ cambio, ahora usa otros comando para calcular los indices
estadísticos de diversidad: Method of calculating the diversity statistics:
"pooled" calculates the diversity of the entire community (all
Hola,
El error te está diciendo que para el parámetro "method" lo que usas "s" no
se acepta...
¿Qué dice la ayuda sobre los valores posibles del parámetro "method"?.
Saludos,
Carlos Ortega
www.qualityexcellence.es
El 15 de febrero de 2017, 18:52, Luis E escribió:
>
Estimados,
Muchas gracias por sua ayuda, ya pude instalar data.table y esta funcionando.
Respecto al paquete biodiversityR, no se porque ahora no me corre. El script
esta correcto, pero no se porque me tira error.
> fase<-diversitycomp(biobsp,
>
Carlos:
Agradecido por tu interés. Adjunto la lista que me solicitas.
Saludos,
Manuel
---
___
El 15/02/2017 17:45, Carlos Ortega escribió:
> Hola,
>
> ¿Puedes pasar parte de estas listas para no picar un ejemplo desde cero... ?
>
Hola,
¿Puedes pasar parte de estas listas para no picar un ejemplo desde cero... ?
Puedes pasarlo en un fichero ".RData" Y si te da problemas el adjuntarlo a
toda la lista, me lo envías y lo pruebo...
Gracias,
Carlos Ortega
www.qualityexcellence.es
El 15 de febrero de 2017, 17:22, Manuel J.
Dispongo de 10 listas, cada una de ellas es, a su vez, una lista de 3
data.frame. Trato de convertirlo todo en un único data.frame. Señalo que
los data.frame son de diferente número de observaciones y variables.
He probado todo, y ¡zas! nada.
Ruego amablemente alguna ayuda.
Manuel J.
Ya...
El problema que pareces tener en tu Mac es que no tienes ninguna librería
de desarrollo instalada y no puedes compilar data.table.
¿Tienes instalado el Xcode?.
Es la aplicación de desarrollo (gratuita) para Mac del propio Apple. Esta
aplicación contiene diferentes compiladores que te
No soy de Mc, pero igual esto te ayuda.
http://tips.tutorialhorizon.com/2015/10/01/xcrun-error-invalid-active-developer-path-library-developer-commandline-tools-missing-xcrun/
Saludos.
El 15/02/17 a las 16:36, Luis E escribió:
Gracias Carlos,
ya intente instalar varias veces el paquete
Si tu info es toda numérica y cada tabla tiene una clave primaria, siempre
puedes:
1) Hacer un melt por clave primaria de cada tabla para dejarla en formato
largo.
2) Apilar las tablas obtenidas con el do.call + rbind de toda la vida.
3) Hacer un cast para dejarla cuadrada de nuevo.
Así no
Hi I am learning R currently and I having trouble structuring a program.
Data consists of 1 data frame with a day of the week, a class list, and a
utility score.
Date Class Utility
Monday Chem 85
Monday
Well, what happens? "Doesn't work" covers a lot of ground, and you don't
provide a reproducible example.
Also, why all the > at the beginning PDF lines? Your R prompts shouldn't
look like that when entering a function, and they make it impossible to
just cut and paste the code. Not that we have
Folks,
The following function works like a charm!
> #Amortization for multiple rows
> createAmorts<-function(ams, numPer, term) {
> fctrs<-rep(1:term, each = numPer)
>
> oneRow<-function(am, fac){
> tdf<-data.frame(ams = c(am), yrs=fac)
> agg<-aggregate(ams ~ yrs, data
> On 15 Feb 2017, at 11:32, Malgorzata Wieteska via R-help
> wrote:
>
> Hello,
> I'm new to R, so sorry for this question. I found a piece of code on stack
> overflow community, title: r-parameter and initial conditions fitting ODE
> models with nls.lm.
> I've tried to
Hello,
I'm new to R, so sorry for this question. I found a piece of code on stack
overflow community, title: r-parameter and initial conditions fitting ODE
models with nls.lm.
I've tried to implement a change suggested, but I get an error: Error in
unname(myparms[4], B = 0, C = 0) : unused
Dear Steven,
I did as you said, thanks, I missed the "Optionally" that was written before
the compilation description.
Therefore I added the two lines
(add-to-list 'load-path "/home/giovannp/ess/ess-16.10/lisp/")
(load "ess-site")
At the end of my .emacs file.
The second line produces the
For those interested, I figured out a way using "convert" on the linux
command line.
Thanks
On Tue, Feb 14, 2017 at 6:02 PM, Bert Gunter wrote:
> Ulrik:
>
> Sheepishly Nitpicking (only because you are a regular and wise R-help
> contibutor):
>
> gganimate is not a
On Wed, 15 Feb 2017, T.Riedle wrote:
Dear all,
I want to run a regression using lm() with Newey West corrected standard errors.
This is the code
Reg<-lm(g~sent + liquidity + Cape, data=dataUsa)
CoefNW<-coeftest(Reg, vcov.=NeweyWest)
CoefNW
In contrast to summary(Reg) the output of CoefNW
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