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R - Amostras e Simulações
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#Amostras e Simulações | |
#Distribuição uniforme | |
runif(n=2, min = 1, max = 10) | |
#Avalia probabilidade | |
dunif(x= 8, min = 1, max = 10) | |
#número máximo nao é sorteado | |
#Avalia probabilidade acumulaa | |
punif(q= 2, min = 1, max = 10) | |
#Amostra a partir de um domínio | |
set.seed(1) #coloca marcador para que o sorteio sempre seja igual | |
amostra = c( "T", "R", "I", "A", "N", "G", "U", "L", "O", "S") | |
sample(x = amostra, replace = FALSE) | |
sample(x = amostra, replace = TRUE) | |
sample(x = amostra, size = 5) | |
sample(x = amostra, size = 10, replace = TRUE, | |
prob = c(1, 1, 5, 1, 1, 1, 1, 1, 1, 5)) | |
#Exercicio | |
?data.frame | |
#Dimensao | |
dim(airquality) | |
#Resumo | |
summary(airquality) | |
#Amostra 10 primeiros registros | |
airquality[1:10,] #ou head(airquality, n=10) | |
#Amostra 10 linhas aleatorias | |
set.seed(20) | |
airquality[sample(nrow(airquality), 10),] | |
#Simulano um modelo linear | |
set.seed(20) | |
b0 = rep(0.5, times = 100) | |
b1 = rep(2, times = 100) | |
x = rnorm(n = 100, mean = 0, sd = 1) | |
e = rnorm(n = 100, mean = 0, sd = 2) | |
valor = b0 + (b1 * x) + e | |
library(plotly) | |
plot_ly( x = x, y = valor, type = "scatter" ) | |
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