bottles: Defetive bottles sample

In XRSCC: Statistical Quality Control Simulation

Description

The data give the number of defective bottles in a fixed sample size

Usage

data(bottles)

Format

A data frame with 80 observations on the following variable.

D

a numeric vector of integer number of defective bottles

Examples

data(bottles)
require(XRSCC)
p_gr(bottles, n=100)

Example output

[1] "Proceso fuera de Control en Grafica p"
$in.control
 [1]  1  2  4  5  6  7  8 10 11 12 13 14 15 16 17 18 19 21 23 24 25 26 27 28 29
[26] 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
[51] 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79
[76] 80

$out.control
[1]  3  9 20 22

$Iteraciones
[1] 1

$data.n
[1] 100

$data.0
    D
1   1
2   9
3  12
4   3
5   5
6   6
7   3
8   4
9  10
10  9
11  1
12  3
13  3
14  2
15  4
16  1
17  1
18  9
19  3
20 11
21  7
22 10
23  4
24  7
25  2
26  2
27  2
28  3
29  1
30  3
31  3
32  2
33  4
34  4
35  5
36  3
37  1
38  2
39  6
40  1
41  4
42  1
43  3
44  6
45  3
46  4
47  4
48  3
49  0
50  1
51  9
52  3
53  5
54  6
55  3
56  5
57  2
58  4
59  2
60  1
61  3
62  3
63  2
64  2
65  4
66  2
67  3
68  3
69  4
70  4
71  2
72  6
73  8
74  5
75  3
76  3
77  2
78  1
79  4
80  2

$data.1
 [1] 0.01 0.09 0.03 0.05 0.06 0.03 0.04 0.09 0.01 0.03 0.03 0.02 0.04 0.01 0.01
[16] 0.09 0.03 0.07 0.04 0.07 0.02 0.02 0.02 0.03 0.01 0.03 0.03 0.02 0.04 0.04
[31] 0.05 0.03 0.01 0.02 0.06 0.01 0.04 0.01 0.03 0.06 0.03 0.04 0.04 0.03 0.00
[46] 0.01 0.09 0.03 0.05 0.06 0.03 0.05 0.02 0.04 0.02 0.01 0.03 0.03 0.02 0.02
[61] 0.04 0.02 0.03 0.03 0.04 0.04 0.02 0.06 0.08 0.05 0.03 0.03 0.02 0.01 0.04
[76] 0.02

$bin
[1] 1

$`Limites de Control Grafica p`
     LCI.p      LCS.p       LC.p 
0.00000000 0.09600496 0.03837500 

$`Conclusion del proceso`
[1] "Proceso fuera de Control en Grafica p"

XRSCC documentation built on May 2, 2019, 5:11 a.m.