Ayuda con el metodo Montecarlo modificado

[juan9302]

Hola , Realice una gráficas con datos random, pero mi tutor me pidió que hiciera lo siguiente y la verdad no se como

*"Debes hacer diez mil veces la aleatorizacion ( en las gráficas que nos mostraste solo hiciste una). Y en cada aleatorizacion debes obtener la media de la matriz y guardarla. De ese modo acabas con diez mil medias. *
Gráficas el histograma de las diez mil medias y ya, este metodo se llama montecarlo, pero es modificado"

Les dejo el scritpt de mis random y de mis histogramas.
De ante mano gracias

Script random base de datos.

datos<- read.csv("BASENUTRCPP.csv", row.names = "Symbol", sep = ","
datosRandcpp <- apply(datos, MARGIN = 2, FUN=permute)

Script de histograma

HCPPRD1 <- hist(x = e$Peso.T,xlim = c(-1,+1), xlab = "Coeficiente de correlacion", ylab = "Frecuencia", main = "Histograma de Correlacion_miRNAs-Macros_CPP_Peso Total_RD", col = "red")

[andresrcs]

Could you please turn this into a self-contained REPRoducible EXample (reprex)? A reprex makes it much easier for others to understand your issue and figure out how to help.

If you've never heard of a reprex before, you might want to start by reading this FAQ:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

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Nota: Por favor intenta hacer tus preguntas en inglés, ya que es el idioma preferido aquí y al usar español estás excluyendo a la mayoría de la conversación, reduciendo así tus posibilidades de obtener ayuda.

[juan9302]

thanks 4u help ......................................