Download presentation

Presentation is loading. Please wait.

Published byGabriel Gallagher Modified over 4 years ago

1
Criando testes usando randomizações

2
m = c(120,107,110,116,114,111,113,117,114,112) > f = c(110,111,107,108,110,105,107,106,111,111) boxplot(m,f, names = c("machos", "fêmeas"))

4
require(boot) media = function(x,i)mean(x[i]) bootm = boot(m, media, 1000)

5
plot (bootm)

7
> names(bootm) [1] "t0" "t" "R" "data" "seed" "statistic" [7] "sim" "call" "stype" "strata" "weights"

8
hist(bootm$t, xlab =NULL, main = NULL )

10
hist(bootm$t, xlab ="comprimento do crânio", ylab = "freqüência",main = "Machos", freq = F ) > curve (dnorm(x, mean = 113.4, sd=3.7178),lwd = 3, add = T)

13
cranio = data.frame(m,f) > cranio m f 1 120 110 2 107 111 3 110 107 4 116 108 5 114 110 6 111 105 7 113 107 8 117 106 9 114 111 10 112 111

14
dmf = function (x,i)mean(cranio$m[i])-mean(cranio$f[i]) > bootdmf= boot(cranio,dmf, 1000) > boxplot (bootdmf$t, ylab= "diferença de comprimentos")

16
hist(bootdmf$t, xlab ="diferença de comprimento do crânio", main = NULL, freq = F ) curve (dnorm(x, mean = 4.8, sd=1.329), add = T) curve (dnorm(x, mean = 0, sd=1.329), lwd = 3, col = 2, add = T, pch = 4)

20
bootdmf ORDINARY NONPARAMETRIC BOOTSTRAP Call: boot(data = cranio, statistic = dmf, R = 1000) Bootstrap Statistics : original bias std. error t1* 4.8 -0.0274 1.329382

21
pmf = function (x,i)mean(cranio$m[i])/mean(cranio$f[i]) > bootpmf= boot(cranio,pmf, 1000) > bootpmf ORDINARY NONPARAMETRIC BOOTSTRAP Call: boot(data = cranio, statistic = pmf, R = 1000) Bootstrap Statistics : original bias std. error t1* 1.044199 -0.0002888062 0.01231848

22
quantile(bootpmf$t, c(0.01, 0.99)) 1% 99% 1.013604 1.071238 > min(bootpmf$t) [1] 1.00271

23
hist(bootpmf$t, xlab ="índice de comprimento m/f", main = NULL, freq = F ) > curve (dnorm(x, mean = 1, sd=0.01231848), add = T)

26
> hist(bootpmf$t, xlab ="índice de comprimento m/f",ylab = "densidade", main = NULL, freq = F ) > curve (dnorm(x, mean = 1, sd=0.01231848), lwd = 2, col = 3,add = T) > curve (dnorm(x, mean = 1.044199, sd=0.01231848), lwd = 2, col = 1,add = T)

Similar presentations

OK

My contact details Colin Gray Room S2 (Thursday mornings, especially)

My contact details Colin Gray Room S2 (Thursday mornings, especially)

© 2018 SlidePlayer.com Inc.

All rights reserved.

To make this website work, we log user data and share it with processors. To use this website, you must agree to our Privacy Policy, including cookie policy.

Ads by Google