Publications by Alexsis Romero Moreno
CASO 4
1.- Cargar Librerias library(readr) library(ggplot2) library(resumeRdesc) 2.- Cargar los datos set.seed(2020) n <- 100 media.edad <- 80; ds.edad <-45 media.peso <- 100; ds.peso <- 5 media.estatura <- 1.70; ds.estatura <-0.65 Construir el conjunto de datos personas head(personas); tail(personas); los primeros y ultimos 6 registros u observ...
451 sym R (3710 sym/26 pcs) 5 img
CASO 2
1.- Cargar libreria fdth library(fdth) ## ## Attaching package: 'fdth' ## The following objects are masked from 'package:stats': ## ## sd, var 2.- Crear conjunto de datos llamados personas set.seed(2020) losnombres=c("GERARDO", "DANIEL", "JUAN", "ROBERTO", "ANGEL", "DEREK", "MIGUEL", "ALEXSIS", "ATZIRI", "ELIZABETH") nombres=sample(los...
1160 sym R (11665 sym/29 pcs) 7 img
Document
1.- Cargar Librerias library(readr) library(fdth) ## ## Attaching package: 'fdth' ## The following objects are masked from 'package:stats': ## ## sd, var 2.- Cargar Datos datos.alumnos <- read.csv("https://raw.githubusercontent.com/rpizarrog/probabilidad-y-estad-stica/master/datos/promedios%20alumnos/datos%20alumnos%20promedios%20SEP%2...
1085 sym R (32986 sym/64 pcs) 18 img
CASO 3
1.- Cargar una librerias library(readr) library(ggplot2) library(resumeRdesc) 2.- Cargar datos set.seed(2022) n=100 Edades= sample(15:80, n, replace = TRUE) Pesos= sample(40:100, n, replace = TRUE) Estaturas= sample(140:250, n, replace = TRUE)/100 personas <- data.frame(Edades, Pesos, Estaturas) names(personas)= c("Edad", "Peso", "Esta...
949 sym R (12209 sym/84 pcs) 12 img
Caso 5
1.- Cargar Librerias library(readr) 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(lubridate) ## ## Attaching package: 'lubridate' ## The followi...
153 sym R (11444 sym/76 pcs) 14 img
CASO 23
Cargar Librerias 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(mosaic) ## Registered S3 method overwritten by 'mosaic': ## method ...
3778 sym R (7188 sym/75 pcs) 6 img 4 tbl
CASO 22
Cargar Librerias 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(mosaic) ## Registered S3 method overwritten by 'mosaic': ## method ...
2797 sym R (7376 sym/50 pcs) 22 tbl
CASO 21
1.- Cargar Librerias 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(mosaic) ## Registered S3 method overwritten by 'mosaic': ## method ...
4471 sym R (8019 sym/68 pcs) 6 img 3 tbl
CASO 18
1.- Cargar Librerias library(ggplot2) source("https://raw.githubusercontent.com/rpizarrog/probabilidad-y-estad-stica/master/funciones/funciones.distribuciones.r") 2.- Ejercicios 2.1.- Ejercicio Suponga que desea saber el número de llegadas, en un lapso de 15 minutos, a la rampa del cajero automático de un banco.(Anderson et al., 2008) Si se...
2896 sym R (3976 sym/30 pcs) 3 img
CASO 19
1.- Cargar Librerias library(ggplot2) source("https://raw.githubusercontent.com/rpizarrog/probabilidad-y-estad-stica/master/funciones/funciones.distribuciones.r") 2.- Ejercicios Ejercicio 1 Una empresa fabrica fusibles que empaca en cajas de 12 unidades cada una. -Asuma que un inspector selecciona al azar 3 de los 12 fusibles de una caja para...
2657 sym R (3493 sym/27 pcs) 2 img