Publications by LUISA FERNANDA BELTRÁN RORÍGUEZ A01570690
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TEORÍA #1.Crear base de datos df<- data.frame(x=c(2,2,8,5,7,6,1,4), y=c(10,5,4,8,5,4,2,9)) #2. Determinar el número de grupos grupos <-3 #3.Realizar la clasificación segmentos <-kmeans(df,grupos) segmentos ## K-means clustering with 3 clusters of sizes 2, 3, 3 ## ## Cluster means: ## x y ## 1 1.500000 3.5...
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TITANIC 1.IMPORTAR LA BASE DE DATOS library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union library(readr) titanic <- read_csv("titanic.csv") ## Rows: 1310 Columns: ...
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library(shiny) library(shinythemes) library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union # Cargar el conjunto de datos HousePriceData <- read.csv("HousePriceData...
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ACT 3.2_LUISA BELTRAN
R Markdown This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com. When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within...
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PORCENTAJE 1-pnorm(30,25.5,4.5) ## [1] 0.1586553 #R= El 15.9% de autos recorre 30mpg o más (es la respuesta de abajo de la curva). Si un fabricante desea desarrollar un auto que supere al 95% de los compactos actuales, ¿cuál debe ser el rendimeinto (mpg)? X qnorm(0.95,25.5,4.5) ## [1] 32.90184 #R=El nuevo auto compacto debe recorrer 32.9mpg para...
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ACTIVIDAD 3.1 DATOS ESTADÍSTICOS PARA LA EMPRESA
ESTADÍSTICA DESCRIPTIVA CONTEXTO ANÁLSIS DE LOS RECIBOS DE LUZ DE UNA CASA EN CALIFORNIA 2006 INSTALAR LOS PAQUETES #install.packages("modest") #install.packages("qcc") #install.packages("Pareto") LLAMAR A LAS LIBRERÍAS library(ggplot2) library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats'...
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