neumann: Neumann dataset

In homals: Gifi Methods for Optimal Scaling

Description

Willard Gibbs discovered a theoretical formula connecting the density, the pressure, and the absolute temperature of a mixture of gases with convertible components. He applied this formula and the estimated constants to 65 experiments of Neumann, and he discusses the systematic and accidental divergences (residuals).

Usage

neumann

Format

A data frame with temperature, pressure, and density on 65 experiments.

References

Gifi, A. (1990). Nonlinear multivariate analysis. New York: Wiley. Wilson, E.B. (1926). Empiricism and rationalism. Science, 64, 47-57

Examples

   data(neumann)
   neumann

Example output

Warning messages:
1: In rgl.init(initValue, onlyNULL) : RGL: unable to open X11 display
2: 'rgl_init' failed, running with rgl.useNULL = TRUE 
3: .onUnload failed in unloadNamespace() for 'rgl', details:
  call: fun(...)
  error: object 'rgl_quit' not found 
   temperature pressure density
1           78    164.0    3.41
2           78    149.0    3.34
3           78    137.0    3.26
4           78    113.0    3.25
5           78     80.0    3.06
6           78     66.0    3.04
7          100    393.5    3.44
8          100    342.3    3.37
9          100    258.0    3.17
10         100    232.0    3.12
11         100    186.0    3.06
12         100    168.0    3.01
13         100    156.0    2.98
14         100    130.0    2.94
15         100     92.0    2.76
16         100     77.7    2.66
17         110    411.0    3.31
18         110    359.3    3.22
19         110    197.0    2.91
20         110    166.5    2.81
21         110    138.5    2.78
22         110     98.5    2.61
23         110     84.0    2.49
24         120    432.0    3.14
25         120    377.5    3.06
26         120    252.0    2.94
27         120    209.0    2.75
28         120    180.0    2.61
29         120    149.0    2.60
30         120    106.0    2.46
31         120     89.5    2.37
32         130    455.0    2.97
33         130    398.5    2.89
34         130    274.0    2.68
35         130    221.0    2.61
36         130    201.0    2.56
37         130    188.0    2.50
38         130    157.5    2.47
39         130    112.5    2.34
40         130     93.0    2.32
41         140    477.0    2.82
42         140    417.5    2.75
43         140    287.5    2.54
44         140    232.0    2.50
45         140    199.0    2.40
46         140    168.2    2.32
47         140    117.3    2.27
48         140     98.0    2.24
49         150    498.5    2.68
50         150    436.5    2.63
51         150    300.0    2.44
52         150    243.0    2.40
53         150    208.2    2.29
54         150    175.0    2.26
55         150    103.0    2.16
56         160    253.0    2.31
57         160    129.2    2.11
58         185    565.0    2.36
59         185    495.0    2.31
60         185    382.0    2.25
61         185    335.0    2.23
62         185    269.0    2.22
63         185    230.0    2.14
64         185    191.5    2.13
65         185    110.5    2.11

homals documentation built on May 2, 2019, 6:51 p.m.