install.packages("fEcofin", repos="http://R-Forge.R-project.org")
## Installing package into 'C:/Users/HP/Documents/R/win-library/3.6'
## (as 'lib' is unspecified)
## installing the source package 'fEcofin'
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(fEcofin)
library(tidyverse)
## -- Attaching packages --------- tidyverse 1.3.0 --
## v ggplot2 3.3.0 v purrr 0.3.3
## v tibble 2.1.3 v stringr 1.4.0
## v tidyr 1.0.0 v forcats 0.4.0
## v readr 1.3.1
## -- Conflicts ------------ tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()
library(tidyr)
mean <- mean(ford.s$FORD)
mean
## [1] 0.0007600789
med <- median(ford.s$FORD)
med
## [1] 0
sd <- sd(ford.s$FORD)
sd
## [1] 0.01831557
library(ggpubr)
## Loading required package: magrittr
##
## Attaching package: 'magrittr'
## The following object is masked from 'package:purrr':
##
## set_names
## The following object is masked from 'package:tidyr':
##
## extract
ggdensity(ford.s$FORD,
main = "Density plot tooth lenght",
xlab = "Tooth length")
ggqqplot(ford.s$FORD)
# c
shapiro.test(ford.s$FORD)
##
## Shapiro-Wilk normality test
##
## data: ford.s$FORD
## W = 0.96388, p-value < 2.2e-16
library(ggplot2)
qqnorm(ford.s$FORD)
qqplot(rt(ford.s$FORD, df = 1),ford.s$FORD,
main = "t(1) QQ plot",
ylab = "Sample Quantiles")
qqplot(rt(ford.s$FORD, df = 2),ford.s$FORD,
main = "t(2) QQ plot",
ylab = "Sample Quantiles")
qqplot(rt(ford.s$FORD, df = 3),ford.s$FORD,
main = "t(3) QQ plot",
ylab = "Sample Quantiles")