Description Usage Arguments Details Value Author(s) See Also Examples
Adds a column to a data frame probability space containing the values of a random variable computed from the existing columns of the space.
1 |
space |
a data frame with a |
FUN |
a function to be applied to each row of outcomes in |
invars |
a character vector indicating input columns of |
name |
an (optional) name to give the defined random variable. |
... |
an expression defining a random variable. |
There are two ways to add a random variable to a data frame probability space; see the examples. The argument FUN
has precedence and will be used if specified. If name
is not specified, then the new random variable will be called X
. Note that this function only works for data frames, as a method for objects of class ps
has not been implemented.
The input data frame with an additional column called name
.
G. Jay Kerns gkerns@ysu.edu.
See transform
to add a column to a data frame of outcomes (not yet a probability space).
1 2 3 |
Loading required package: combinat
Attaching package: 'combinat'
The following object is masked from 'package:utils':
combn
Loading required package: fAsianOptions
Loading required package: timeDate
Loading required package: timeSeries
Loading required package: fBasics
Rmetrics Package fBasics
Analysing Markets and calculating Basic Statistics
Copyright (C) 2005-2014 Rmetrics Association Zurich
Educational Software for Financial Engineering and Computational Science
Rmetrics is free software and comes with ABSOLUTELY NO WARRANTY.
https://www.rmetrics.org --- Mail to: info@rmetrics.org
Loading required package: fOptions
Rmetrics Package fOptions
Pricing and Evaluating Basic Options
Copyright (C) 2005-2014 Rmetrics Association Zurich
Educational Software for Financial Engineering and Computational Science
Rmetrics is free software and comes with ABSOLUTELY NO WARRANTY.
https://www.rmetrics.org --- Mail to: info@rmetrics.org
Loading required package: hypergeo
Loading required package: VGAM
Loading required package: stats4
Loading required package: splines
Attaching package: 'VGAM'
The following object is masked from 'package:hypergeo':
is.zero
The following object is masked from 'package:fAsianOptions':
erf
Attaching package: 'prob'
The following objects are masked from 'package:base':
intersect, setdiff, union
X1 X2 X3 Y probs
1 1 1 1 3 0.00462963
2 2 1 1 4 0.00462963
3 3 1 1 5 0.00462963
4 4 1 1 6 0.00462963
5 5 1 1 7 0.00462963
6 6 1 1 8 0.00462963
7 1 2 1 4 0.00462963
8 2 2 1 5 0.00462963
9 3 2 1 6 0.00462963
10 4 2 1 7 0.00462963
11 5 2 1 8 0.00462963
12 6 2 1 9 0.00462963
13 1 3 1 5 0.00462963
14 2 3 1 6 0.00462963
15 3 3 1 7 0.00462963
16 4 3 1 8 0.00462963
17 5 3 1 9 0.00462963
18 6 3 1 10 0.00462963
19 1 4 1 6 0.00462963
20 2 4 1 7 0.00462963
21 3 4 1 8 0.00462963
22 4 4 1 9 0.00462963
23 5 4 1 10 0.00462963
24 6 4 1 11 0.00462963
25 1 5 1 7 0.00462963
26 2 5 1 8 0.00462963
27 3 5 1 9 0.00462963
28 4 5 1 10 0.00462963
29 5 5 1 11 0.00462963
30 6 5 1 12 0.00462963
31 1 6 1 8 0.00462963
32 2 6 1 9 0.00462963
33 3 6 1 10 0.00462963
34 4 6 1 11 0.00462963
35 5 6 1 12 0.00462963
36 6 6 1 13 0.00462963
37 1 1 2 4 0.00462963
38 2 1 2 5 0.00462963
39 3 1 2 6 0.00462963
40 4 1 2 7 0.00462963
41 5 1 2 8 0.00462963
42 6 1 2 9 0.00462963
43 1 2 2 5 0.00462963
44 2 2 2 6 0.00462963
45 3 2 2 7 0.00462963
46 4 2 2 8 0.00462963
47 5 2 2 9 0.00462963
48 6 2 2 10 0.00462963
49 1 3 2 6 0.00462963
50 2 3 2 7 0.00462963
51 3 3 2 8 0.00462963
52 4 3 2 9 0.00462963
53 5 3 2 10 0.00462963
54 6 3 2 11 0.00462963
55 1 4 2 7 0.00462963
56 2 4 2 8 0.00462963
57 3 4 2 9 0.00462963
58 4 4 2 10 0.00462963
59 5 4 2 11 0.00462963
60 6 4 2 12 0.00462963
61 1 5 2 8 0.00462963
62 2 5 2 9 0.00462963
63 3 5 2 10 0.00462963
64 4 5 2 11 0.00462963
65 5 5 2 12 0.00462963
66 6 5 2 13 0.00462963
67 1 6 2 9 0.00462963
68 2 6 2 10 0.00462963
69 3 6 2 11 0.00462963
70 4 6 2 12 0.00462963
71 5 6 2 13 0.00462963
72 6 6 2 14 0.00462963
73 1 1 3 5 0.00462963
74 2 1 3 6 0.00462963
75 3 1 3 7 0.00462963
76 4 1 3 8 0.00462963
77 5 1 3 9 0.00462963
78 6 1 3 10 0.00462963
79 1 2 3 6 0.00462963
80 2 2 3 7 0.00462963
81 3 2 3 8 0.00462963
82 4 2 3 9 0.00462963
83 5 2 3 10 0.00462963
84 6 2 3 11 0.00462963
85 1 3 3 7 0.00462963
86 2 3 3 8 0.00462963
87 3 3 3 9 0.00462963
88 4 3 3 10 0.00462963
89 5 3 3 11 0.00462963
90 6 3 3 12 0.00462963
91 1 4 3 8 0.00462963
92 2 4 3 9 0.00462963
93 3 4 3 10 0.00462963
94 4 4 3 11 0.00462963
95 5 4 3 12 0.00462963
96 6 4 3 13 0.00462963
97 1 5 3 9 0.00462963
98 2 5 3 10 0.00462963
99 3 5 3 11 0.00462963
100 4 5 3 12 0.00462963
101 5 5 3 13 0.00462963
102 6 5 3 14 0.00462963
103 1 6 3 10 0.00462963
104 2 6 3 11 0.00462963
105 3 6 3 12 0.00462963
106 4 6 3 13 0.00462963
107 5 6 3 14 0.00462963
108 6 6 3 15 0.00462963
109 1 1 4 6 0.00462963
110 2 1 4 7 0.00462963
111 3 1 4 8 0.00462963
112 4 1 4 9 0.00462963
113 5 1 4 10 0.00462963
114 6 1 4 11 0.00462963
115 1 2 4 7 0.00462963
116 2 2 4 8 0.00462963
117 3 2 4 9 0.00462963
118 4 2 4 10 0.00462963
119 5 2 4 11 0.00462963
120 6 2 4 12 0.00462963
121 1 3 4 8 0.00462963
122 2 3 4 9 0.00462963
123 3 3 4 10 0.00462963
124 4 3 4 11 0.00462963
125 5 3 4 12 0.00462963
126 6 3 4 13 0.00462963
127 1 4 4 9 0.00462963
128 2 4 4 10 0.00462963
129 3 4 4 11 0.00462963
130 4 4 4 12 0.00462963
131 5 4 4 13 0.00462963
132 6 4 4 14 0.00462963
133 1 5 4 10 0.00462963
134 2 5 4 11 0.00462963
135 3 5 4 12 0.00462963
136 4 5 4 13 0.00462963
137 5 5 4 14 0.00462963
138 6 5 4 15 0.00462963
139 1 6 4 11 0.00462963
140 2 6 4 12 0.00462963
141 3 6 4 13 0.00462963
142 4 6 4 14 0.00462963
143 5 6 4 15 0.00462963
144 6 6 4 16 0.00462963
145 1 1 5 7 0.00462963
146 2 1 5 8 0.00462963
147 3 1 5 9 0.00462963
148 4 1 5 10 0.00462963
149 5 1 5 11 0.00462963
150 6 1 5 12 0.00462963
151 1 2 5 8 0.00462963
152 2 2 5 9 0.00462963
153 3 2 5 10 0.00462963
154 4 2 5 11 0.00462963
155 5 2 5 12 0.00462963
156 6 2 5 13 0.00462963
157 1 3 5 9 0.00462963
158 2 3 5 10 0.00462963
159 3 3 5 11 0.00462963
160 4 3 5 12 0.00462963
161 5 3 5 13 0.00462963
162 6 3 5 14 0.00462963
163 1 4 5 10 0.00462963
164 2 4 5 11 0.00462963
165 3 4 5 12 0.00462963
166 4 4 5 13 0.00462963
167 5 4 5 14 0.00462963
168 6 4 5 15 0.00462963
169 1 5 5 11 0.00462963
170 2 5 5 12 0.00462963
171 3 5 5 13 0.00462963
172 4 5 5 14 0.00462963
173 5 5 5 15 0.00462963
174 6 5 5 16 0.00462963
175 1 6 5 12 0.00462963
176 2 6 5 13 0.00462963
177 3 6 5 14 0.00462963
178 4 6 5 15 0.00462963
179 5 6 5 16 0.00462963
180 6 6 5 17 0.00462963
181 1 1 6 8 0.00462963
182 2 1 6 9 0.00462963
183 3 1 6 10 0.00462963
184 4 1 6 11 0.00462963
185 5 1 6 12 0.00462963
186 6 1 6 13 0.00462963
187 1 2 6 9 0.00462963
188 2 2 6 10 0.00462963
189 3 2 6 11 0.00462963
190 4 2 6 12 0.00462963
191 5 2 6 13 0.00462963
192 6 2 6 14 0.00462963
193 1 3 6 10 0.00462963
194 2 3 6 11 0.00462963
195 3 3 6 12 0.00462963
196 4 3 6 13 0.00462963
197 5 3 6 14 0.00462963
198 6 3 6 15 0.00462963
199 1 4 6 11 0.00462963
200 2 4 6 12 0.00462963
201 3 4 6 13 0.00462963
202 4 4 6 14 0.00462963
203 5 4 6 15 0.00462963
204 6 4 6 16 0.00462963
205 1 5 6 12 0.00462963
206 2 5 6 13 0.00462963
207 3 5 6 14 0.00462963
208 4 5 6 15 0.00462963
209 5 5 6 16 0.00462963
210 6 5 6 17 0.00462963
211 1 6 6 13 0.00462963
212 2 6 6 14 0.00462963
213 3 6 6 15 0.00462963
214 4 6 6 16 0.00462963
215 5 6 6 17 0.00462963
216 6 6 6 18 0.00462963
X1 X2 X3 Z probs
1 1 1 1 0 0.00462963
2 2 1 1 0 0.00462963
3 3 1 1 0 0.00462963
4 4 1 1 0 0.00462963
5 5 1 1 0 0.00462963
6 6 1 1 0 0.00462963
7 1 2 1 -1 0.00462963
8 2 2 1 -1 0.00462963
9 3 2 1 -1 0.00462963
10 4 2 1 -1 0.00462963
11 5 2 1 -1 0.00462963
12 6 2 1 -1 0.00462963
13 1 3 1 -2 0.00462963
14 2 3 1 -2 0.00462963
15 3 3 1 -2 0.00462963
16 4 3 1 -2 0.00462963
17 5 3 1 -2 0.00462963
18 6 3 1 -2 0.00462963
19 1 4 1 -3 0.00462963
20 2 4 1 -3 0.00462963
21 3 4 1 -3 0.00462963
22 4 4 1 -3 0.00462963
23 5 4 1 -3 0.00462963
24 6 4 1 -3 0.00462963
25 1 5 1 -4 0.00462963
26 2 5 1 -4 0.00462963
27 3 5 1 -4 0.00462963
28 4 5 1 -4 0.00462963
29 5 5 1 -4 0.00462963
30 6 5 1 -4 0.00462963
31 1 6 1 -5 0.00462963
32 2 6 1 -5 0.00462963
33 3 6 1 -5 0.00462963
34 4 6 1 -5 0.00462963
35 5 6 1 -5 0.00462963
36 6 6 1 -5 0.00462963
37 1 1 2 1 0.00462963
38 2 1 2 1 0.00462963
39 3 1 2 1 0.00462963
40 4 1 2 1 0.00462963
41 5 1 2 1 0.00462963
42 6 1 2 1 0.00462963
43 1 2 2 0 0.00462963
44 2 2 2 0 0.00462963
45 3 2 2 0 0.00462963
46 4 2 2 0 0.00462963
47 5 2 2 0 0.00462963
48 6 2 2 0 0.00462963
49 1 3 2 -1 0.00462963
50 2 3 2 -1 0.00462963
51 3 3 2 -1 0.00462963
52 4 3 2 -1 0.00462963
53 5 3 2 -1 0.00462963
54 6 3 2 -1 0.00462963
55 1 4 2 -2 0.00462963
56 2 4 2 -2 0.00462963
57 3 4 2 -2 0.00462963
58 4 4 2 -2 0.00462963
59 5 4 2 -2 0.00462963
60 6 4 2 -2 0.00462963
61 1 5 2 -3 0.00462963
62 2 5 2 -3 0.00462963
63 3 5 2 -3 0.00462963
64 4 5 2 -3 0.00462963
65 5 5 2 -3 0.00462963
66 6 5 2 -3 0.00462963
67 1 6 2 -4 0.00462963
68 2 6 2 -4 0.00462963
69 3 6 2 -4 0.00462963
70 4 6 2 -4 0.00462963
71 5 6 2 -4 0.00462963
72 6 6 2 -4 0.00462963
73 1 1 3 2 0.00462963
74 2 1 3 2 0.00462963
75 3 1 3 2 0.00462963
76 4 1 3 2 0.00462963
77 5 1 3 2 0.00462963
78 6 1 3 2 0.00462963
79 1 2 3 1 0.00462963
80 2 2 3 1 0.00462963
81 3 2 3 1 0.00462963
82 4 2 3 1 0.00462963
83 5 2 3 1 0.00462963
84 6 2 3 1 0.00462963
85 1 3 3 0 0.00462963
86 2 3 3 0 0.00462963
87 3 3 3 0 0.00462963
88 4 3 3 0 0.00462963
89 5 3 3 0 0.00462963
90 6 3 3 0 0.00462963
91 1 4 3 -1 0.00462963
92 2 4 3 -1 0.00462963
93 3 4 3 -1 0.00462963
94 4 4 3 -1 0.00462963
95 5 4 3 -1 0.00462963
96 6 4 3 -1 0.00462963
97 1 5 3 -2 0.00462963
98 2 5 3 -2 0.00462963
99 3 5 3 -2 0.00462963
100 4 5 3 -2 0.00462963
101 5 5 3 -2 0.00462963
102 6 5 3 -2 0.00462963
103 1 6 3 -3 0.00462963
104 2 6 3 -3 0.00462963
105 3 6 3 -3 0.00462963
106 4 6 3 -3 0.00462963
107 5 6 3 -3 0.00462963
108 6 6 3 -3 0.00462963
109 1 1 4 3 0.00462963
110 2 1 4 3 0.00462963
111 3 1 4 3 0.00462963
112 4 1 4 3 0.00462963
113 5 1 4 3 0.00462963
114 6 1 4 3 0.00462963
115 1 2 4 2 0.00462963
116 2 2 4 2 0.00462963
117 3 2 4 2 0.00462963
118 4 2 4 2 0.00462963
119 5 2 4 2 0.00462963
120 6 2 4 2 0.00462963
121 1 3 4 1 0.00462963
122 2 3 4 1 0.00462963
123 3 3 4 1 0.00462963
124 4 3 4 1 0.00462963
125 5 3 4 1 0.00462963
126 6 3 4 1 0.00462963
127 1 4 4 0 0.00462963
128 2 4 4 0 0.00462963
129 3 4 4 0 0.00462963
130 4 4 4 0 0.00462963
131 5 4 4 0 0.00462963
132 6 4 4 0 0.00462963
133 1 5 4 -1 0.00462963
134 2 5 4 -1 0.00462963
135 3 5 4 -1 0.00462963
136 4 5 4 -1 0.00462963
137 5 5 4 -1 0.00462963
138 6 5 4 -1 0.00462963
139 1 6 4 -2 0.00462963
140 2 6 4 -2 0.00462963
141 3 6 4 -2 0.00462963
142 4 6 4 -2 0.00462963
143 5 6 4 -2 0.00462963
144 6 6 4 -2 0.00462963
145 1 1 5 4 0.00462963
146 2 1 5 4 0.00462963
147 3 1 5 4 0.00462963
148 4 1 5 4 0.00462963
149 5 1 5 4 0.00462963
150 6 1 5 4 0.00462963
151 1 2 5 3 0.00462963
152 2 2 5 3 0.00462963
153 3 2 5 3 0.00462963
154 4 2 5 3 0.00462963
155 5 2 5 3 0.00462963
156 6 2 5 3 0.00462963
157 1 3 5 2 0.00462963
158 2 3 5 2 0.00462963
159 3 3 5 2 0.00462963
160 4 3 5 2 0.00462963
161 5 3 5 2 0.00462963
162 6 3 5 2 0.00462963
163 1 4 5 1 0.00462963
164 2 4 5 1 0.00462963
165 3 4 5 1 0.00462963
166 4 4 5 1 0.00462963
167 5 4 5 1 0.00462963
168 6 4 5 1 0.00462963
169 1 5 5 0 0.00462963
170 2 5 5 0 0.00462963
171 3 5 5 0 0.00462963
172 4 5 5 0 0.00462963
173 5 5 5 0 0.00462963
174 6 5 5 0 0.00462963
175 1 6 5 -1 0.00462963
176 2 6 5 -1 0.00462963
177 3 6 5 -1 0.00462963
178 4 6 5 -1 0.00462963
179 5 6 5 -1 0.00462963
180 6 6 5 -1 0.00462963
181 1 1 6 5 0.00462963
182 2 1 6 5 0.00462963
183 3 1 6 5 0.00462963
184 4 1 6 5 0.00462963
185 5 1 6 5 0.00462963
186 6 1 6 5 0.00462963
187 1 2 6 4 0.00462963
188 2 2 6 4 0.00462963
189 3 2 6 4 0.00462963
190 4 2 6 4 0.00462963
191 5 2 6 4 0.00462963
192 6 2 6 4 0.00462963
193 1 3 6 3 0.00462963
194 2 3 6 3 0.00462963
195 3 3 6 3 0.00462963
196 4 3 6 3 0.00462963
197 5 3 6 3 0.00462963
198 6 3 6 3 0.00462963
199 1 4 6 2 0.00462963
200 2 4 6 2 0.00462963
201 3 4 6 2 0.00462963
202 4 4 6 2 0.00462963
203 5 4 6 2 0.00462963
204 6 4 6 2 0.00462963
205 1 5 6 1 0.00462963
206 2 5 6 1 0.00462963
207 3 5 6 1 0.00462963
208 4 5 6 1 0.00462963
209 5 5 6 1 0.00462963
210 6 5 6 1 0.00462963
211 1 6 6 0 0.00462963
212 2 6 6 0 0.00462963
213 3 6 6 0 0.00462963
214 4 6 6 0 0.00462963
215 5 6 6 0 0.00462963
216 6 6 6 0 0.00462963
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