-
Notifications
You must be signed in to change notification settings - Fork 0
/
d020_diferencia_de_medias.r
67 lines (47 loc) · 1.24 KB
/
d020_diferencia_de_medias.r
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
rm (list = ls ())
################################################################################
### Dos poblaciones
X <- rnorm (1000000, mean = 0.5, sd = 1)
Y <- rnorm (1000000, mean = 0, sd = 1)
length (X)
length (Y)
X[1:10]
Y[1000:1010]
summary (X)
summary (Y)
par (mfrow = c (2, 1))
##
hist (X, xlim = c(-8, 8))
abline (v = 1, lwd = 3, col = "blue")
abline (v = 0, lwd = 3, col = "green")
##
hist (Y, xlim = c(-8, 8))
abline (v = 1, lwd = 3, col = "blue")
abline (v = 0, lwd = 3, col = "green")
boxplot (X, Y)
abline (h = 1, col = "blue")
abline (h = 0, col = "green")
################################################################################
## MUESTREO ALEATORIO REPETIDO Y TEST DE LA T
N <- 200
R <- 1000
rept <- NULL
repp <- NULL
for (i in 1:R) {
print (i)
##muestreo
x <- sample (X, size = N)
y <- sample (Y, size = N)
## t-test
tt <- t.test (x, y)
##guardamos
rept <- c (rept, tt$statistic)
repp <- c (repp, tt$p.value)
}
plot (rept, repp)
abline (h = 0.05, col = "red")
abline (v = c (-1.96, 1.96), col = "grey")
#### POTENCIA ALCANZADA (capacidad para detectar la diferencia poblacional cuando existe)
## falsos negativos
table (repp > 0.05)
table (repp > 0.05) / length (repp)