library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.4 ✔ readr 2.1.5
## ✔ forcats 1.0.0 ✔ stringr 1.5.1
## ✔ ggplot2 4.0.0 ✔ tibble 3.3.0
## ✔ lubridate 1.9.4 ✔ tidyr 1.3.1
## ✔ purrr 1.1.0
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(summarytools)
##
## Adjuntando el paquete: 'summarytools'
##
## The following object is masked from 'package:tibble':
##
## view
Fruto<-c(1,2,3,4,5,6,7,8,8,10)
Grs<-c(386,521,363,416,507,438,380,497,475,131)
Tabla<- data.frame(Fruto,Grs)
Tabla
## Fruto Grs
## 1 1 386
## 2 2 521
## 3 3 363
## 4 4 416
## 5 5 507
## 6 6 438
## 7 7 380
## 8 8 497
## 9 8 475
## 10 10 131
st_options(lang = "es")
descr(Grs)
## Estadísticas descriptivas
## Grs
## N: 10
##
## Grs
## ------------------ --------
## Media 411.40
## Dev.std. 113.46
## Min 131.00
## Q1 380.00
## Mediana 427.00
## Q3 497.00
## Max 521.00
## DAP 83.03
## RI 110.00
## CV 0.28
## Asimetría -1.31
## ES-Asimetría 0.69
## Curtosis 0.92
## Num.Válido 10.00
## N 10.00
## Pct.Válido 100.00
ggplot(Tabla, aes(y = Grs)) +
geom_boxplot(fill = "red", color = "black") +
labs(
title = "PESOS DE POMELOS",
y = "Grs"
) +
theme_minimal()
