Generating random values from the expression of y, and forms a lineup
Source: R/zzz_VI_MODEL.R
VI_MODEL-cash-gen_lineup.RdThis function generates random values from the expression of
y, and keeps all the right hand side information in a data frame.
Arguments
- n
Integer. Number of observations.
- k
Integer. Number of plots in the lineup. Default is
k = 20.- pos
Integer. Position of the true data plot. Default is
pos = NULL, which means the position is random.- computed
List. Default is
NULL. If it is provided, random variables or random closed form expression will use the values from the list, which makes the expression potentially deterministic.
Examples
# Instantiate
x <- rand_uniform()
e <- rand_normal()
test <- vi_model(prm = list(x = x, e = e),
prm_type = list(x = "r", e = "r"),
formula = y ~ 1 + x + x^2 + e,
null_formula = y ~ x,
alt_formula = y ~ x + I(x^2))
test$gen_lineup(10, k = 3)
#> y x e .resid .fitted test_name statistic
#> 1 2.2337979 0.3184964 0.8138616 0.4524626 1.781335 F-test 13.452795
#> 2 1.2316579 0.4662598 -0.4520001 -0.7315824 1.963240 F-test 13.452795
#> 3 1.6634854 0.6777285 -0.4735591 -0.5600846 2.223570 F-test 13.452795
#> 4 1.3424917 0.3738539 -0.1711289 -0.5069917 1.849483 F-test 13.452795
#> 5 1.3065891 0.7687011 -1.0530134 -1.0289731 2.335562 F-test 13.452795
#> 6 4.7657337 0.9982908 1.7708584 2.1475339 2.618200 F-test 13.452795
#> 7 1.8743713 0.4043063 0.3066015 -0.0126007 1.886972 F-test 13.452795
#> 8 0.4633385 0.6903336 -1.7035555 -1.7757490 2.239087 F-test 13.452795
#> 9 2.8437422 0.2128211 1.5856284 1.1924991 1.651243 F-test 13.452795
#> 10 2.7963563 0.4740823 1.0975199 0.8234861 1.972870 F-test 13.452795
#> 11 2.0154726 0.3184964 0.8138616 0.2341372 1.781335 F-test 1.697958
#> 12 0.6572083 0.4662598 -0.4520001 -1.3060320 1.963240 F-test 1.697958
#> 13 3.7838578 0.6777285 -0.4735591 1.5602878 2.223570 F-test 1.697958
#> 14 0.4117211 0.3738539 -0.1711289 -1.4377624 1.849483 F-test 1.697958
#> 15 3.1871892 0.7687011 -1.0530134 0.8516270 2.335562 F-test 1.697958
#> 16 1.3780200 0.9982908 1.7708584 -1.2401799 2.618200 F-test 1.697958
#> 17 2.4793629 0.4043063 0.3066015 0.5923909 1.886972 F-test 1.697958
#> 18 1.7258043 0.6903336 -1.7035555 -0.5132831 2.239087 F-test 1.697958
#> 19 1.2076225 0.2128211 1.5856284 -0.4436207 1.651243 F-test 1.697958
#> 20 3.6753055 0.4740823 1.0975199 1.7024353 1.972870 F-test 1.697958
#> 21 0.5227955 0.3184964 0.8138616 -1.2585399 1.781335 F-test 1.788007
#> 22 0.2425309 0.4662598 -0.4520001 -1.7207094 1.963240 F-test 1.788007
#> 23 2.9429976 0.6777285 -0.4735591 0.7194276 2.223570 F-test 1.788007
#> 24 1.5241622 0.3738539 -0.1711289 -0.3253212 1.849483 F-test 1.788007
#> 25 2.6112160 0.7687011 -1.0530134 0.2756538 2.335562 F-test 1.788007
#> 26 3.1668421 0.9982908 1.7708584 0.5486422 2.618200 F-test 1.788007
#> 27 1.5513904 0.4043063 0.3066015 -0.3355817 1.886972 F-test 1.788007
#> 28 1.2213615 0.6903336 -1.7035555 -1.0177260 2.239087 F-test 1.788007
#> 29 3.7967325 0.2128211 1.5856284 2.1454894 1.651243 F-test 1.788007
#> 30 2.9415354 0.4740823 1.0975199 0.9686651 1.972870 F-test 1.788007
#> p_value k null
#> 1 0.007987396 2 FALSE
#> 2 0.007987396 2 FALSE
#> 3 0.007987396 2 FALSE
#> 4 0.007987396 2 FALSE
#> 5 0.007987396 2 FALSE
#> 6 0.007987396 2 FALSE
#> 7 0.007987396 2 FALSE
#> 8 0.007987396 2 FALSE
#> 9 0.007987396 2 FALSE
#> 10 0.007987396 2 FALSE
#> 11 0.233778614 1 TRUE
#> 12 0.233778614 1 TRUE
#> 13 0.233778614 1 TRUE
#> 14 0.233778614 1 TRUE
#> 15 0.233778614 1 TRUE
#> 16 0.233778614 1 TRUE
#> 17 0.233778614 1 TRUE
#> 18 0.233778614 1 TRUE
#> 19 0.233778614 1 TRUE
#> 20 0.233778614 1 TRUE
#> 21 0.222985393 3 TRUE
#> 22 0.222985393 3 TRUE
#> 23 0.222985393 3 TRUE
#> 24 0.222985393 3 TRUE
#> 25 0.222985393 3 TRUE
#> 26 0.222985393 3 TRUE
#> 27 0.222985393 3 TRUE
#> 28 0.222985393 3 TRUE
#> 29 0.222985393 3 TRUE
#> 30 0.222985393 3 TRUE
test$gen_lineup(10, k = 3, computed = list(e = 1:10))
#> y e x .resid .fitted test_name statistic p_value k
#> 1 2.0946218 1 0.08704496 -3.0056956 5.100317 F-test 1.0685115 0.3356668 2
#> 2 3.1902553 2 0.16351739 -2.3577832 5.548039 F-test 1.0685115 0.3356668 2
#> 3 4.7510404 3 0.50052007 -2.7700389 7.521079 F-test 1.0685115 0.3356668 2
#> 4 5.4434568 4 0.33274054 -1.0953281 6.538785 F-test 1.0685115 0.3356668 2
#> 5 6.9349441 5 0.58855137 -1.1015298 8.036474 F-test 1.0685115 0.3356668 2
#> 6 7.7472215 6 0.49860979 0.2373262 7.509895 F-test 1.0685115 0.3356668 2
#> 7 9.7219859 7 0.90427416 -0.1629420 9.884928 F-test 1.0685115 0.3356668 2
#> 8 9.9284136 8 0.58554760 1.9095258 8.018888 F-test 1.0685115 0.3356668 2
#> 9 11.4795415 9 0.81512034 2.1165801 9.362961 F-test 1.0685115 0.3356668 2
#> 10 11.0386304 10 0.03724331 6.2298855 4.808745 F-test 1.0685115 0.3356668 2
#> 11 6.5805193 1 0.08704496 1.4802020 5.100317 F-test 0.3706724 0.5618672 1
#> 12 0.8308687 2 0.16351739 -4.7171698 5.548039 F-test 0.3706724 0.5618672 1
#> 13 6.3248759 3 0.50052007 -1.1962034 7.521079 F-test 0.3706724 0.5618672 1
#> 14 9.6856315 4 0.33274054 3.1468467 6.538785 F-test 0.3706724 0.5618672 1
#> 15 8.6993940 5 0.58855137 0.6629201 8.036474 F-test 0.3706724 0.5618672 1
#> 16 4.8883880 6 0.49860979 -2.6215073 7.509895 F-test 0.3706724 0.5618672 1
#> 17 13.2123694 7 0.90427416 3.3274415 9.884928 F-test 0.3706724 0.5618672 1
#> 18 9.4345400 8 0.58554760 1.4156522 8.018888 F-test 0.3706724 0.5618672 1
#> 19 5.9292932 9 0.81512034 -3.4336682 9.362961 F-test 0.3706724 0.5618672 1
#> 20 6.7442312 10 0.03724331 1.9354863 4.808745 F-test 0.3706724 0.5618672 1
#> 21 2.9489698 1 0.08704496 -2.1513475 5.100317 F-test 1.2884848 0.2936953 3
#> 22 4.6744424 2 0.16351739 -0.8735961 5.548039 F-test 1.2884848 0.2936953 3
#> 23 9.8049783 3 0.50052007 2.2838990 7.521079 F-test 1.2884848 0.2936953 3
#> 24 3.3966093 4 0.33274054 -3.1421755 6.538785 F-test 1.2884848 0.2936953 3
#> 25 6.7656764 5 0.58855137 -1.2707975 8.036474 F-test 1.2884848 0.2936953 3
#> 26 4.3579368 6 0.49860979 -3.1519585 7.509895 F-test 1.2884848 0.2936953 3
#> 27 9.1282802 7 0.90427416 -0.7566477 9.884928 F-test 1.2884848 0.2936953 3
#> 28 8.4409210 8 0.58554760 0.4220332 8.018888 F-test 1.2884848 0.2936953 3
#> 29 12.7919394 9 0.81512034 3.4289780 9.362961 F-test 1.2884848 0.2936953 3
#> 30 10.0203576 10 0.03724331 5.2116127 4.808745 F-test 1.2884848 0.2936953 3
#> null
#> 1 FALSE
#> 2 FALSE
#> 3 FALSE
#> 4 FALSE
#> 5 FALSE
#> 6 FALSE
#> 7 FALSE
#> 8 FALSE
#> 9 FALSE
#> 10 FALSE
#> 11 TRUE
#> 12 TRUE
#> 13 TRUE
#> 14 TRUE
#> 15 TRUE
#> 16 TRUE
#> 17 TRUE
#> 18 TRUE
#> 19 TRUE
#> 20 TRUE
#> 21 TRUE
#> 22 TRUE
#> 23 TRUE
#> 24 TRUE
#> 25 TRUE
#> 26 TRUE
#> 27 TRUE
#> 28 TRUE
#> 29 TRUE
#> 30 TRUE