This function simulates data from a cosinor model with a single covariate, where the time scale is month, and optionally allows for single covariate effects on the mean, amplitude, and acrophase.
Usage
simulate_cosinor(
n,
mesor,
amp,
acro,
period = 24,
n_components,
beta.group = FALSE,
beta.mesor,
beta.amp,
beta.acro,
n_period = 1,
family = c("gaussian", "poisson", "binomial", "gamma"),
...
)Arguments
- n
The sample size. An
integergreater than 0.- mesor
A
numeric. The MESOR (midline estimating statistic of rhythm) forgroup = 0. The MESOR is independent of the cosinor components, so only one value is allowed even if there are multiple components in the data being simulated.- amp
A
numeric. The amplitude value (forgroup = 0if grouped data are being simulated (beta.group = TRUE)). If simulating data with multiple components, specify a vector with values for each component. E.g:amp = c(5, 10).- acro
A
numeric. The acrophase value in radians (forgroup = 0if grouped data are being simulated (beta.group = TRUE)). If simulating data with multiple components, specify a vector with values for each component. E.g:acr = c(0, pi)for two components.- period
The period of the rhythm data (for
group = 0if grouped data are being simulated (beta.group = TRUE)). If simulating data with multiple components, specify a vector with values for each component. E.g:period = c(12, 6)for two components.- n_components
The number of components in the model. This must match the length of the inputs for
ampandacro.- beta.group
A
logical. IfTRUEa second group of data will be simulated and included in the returned data set. IfFALSE,beta.acro,beta.mesor, andbeta.amparguments will be ignored.- beta.mesor
A
numeric. The MESOR value term forgroup = 1- beta.amp
A
numeric. The amplitude value forgroup = 1. If simulating data with multiple components, specify a vector with values for each component. E.g:amp = c(2, 8).- beta.acro
A
numeric. The acrophase value in radians (forgroup = 1. If simulating data with multiple components, specify a vector with values for each component. E.g:acr = c(2, 5)for two components.- n_period
A
numeric. The number of cycles of the rhythm to be simulated.- family
A
character. The family (see?family) of the simulated dataset. Can handle values inc("poisson", "binomial", "gamma", "gaussian").- ...
Extra arguments, including
alphathat controls theshapeargument when sampling from a gamma distribution (whenfamily = "gamma"; default is 1), andsd(standard deviation) which is used when sampling from a normal distribution (whenfamily = "gaussian"; default is 1). To specify these parameters for the beta (treatment) group, usebeta.alphaandbeta.sd
Examples
simulate_cosinor(
n = 100,
mesor = 1,
amp = 1,
acro = 1,
period = 24,
family = "gaussian"
)
#> Y times group
#> 1 1.194480619 18.5688837 0
#> 2 1.389274444 20.8856291 0
#> 3 1.522773039 20.4608388 0
#> 4 0.709072436 12.6873480 0
#> 5 2.331955204 8.0136858 0
#> 6 0.005229479 14.5856712 0
#> 7 2.189689300 3.6204695 0
#> 8 -0.484780570 14.3995877 0
#> 9 -0.847616844 21.2452399 0
#> 10 0.635988335 1.4361358 0
#> 11 1.136075710 23.3646671 0
#> 12 1.486555288 16.4551474 0
#> 13 1.342397966 5.7759504 0
#> 14 2.488506574 4.7712581 0
#> 15 2.816638175 7.7139340 0
#> 16 0.940177793 20.7051701 0
#> 17 0.527670379 0.2832798 0
#> 18 -0.206041328 15.0817796 0
#> 19 2.030663802 4.3882411 0
#> 20 1.576320355 13.5442148 0
#> 21 0.022808534 17.4825389 0
#> 22 1.351207269 11.6615412 0
#> 23 2.046409612 4.8826947 0
#> 24 1.556638762 9.5329781 0
#> 25 -0.004221519 20.5389053 0
#> 26 0.381366124 18.6714399 0
#> 27 -0.155842263 22.5791334 0
#> 28 1.208117267 18.0893958 0
#> 29 1.690154297 2.7864827 0
#> 30 2.319027206 23.3388290 0
#> 31 2.017359856 23.0470447 0
#> 32 2.035843196 10.5019208 0
#> 33 0.806815619 18.8192481 0
#> 34 3.457898160 2.8523049 0
#> 35 2.404329349 22.8810225 0
#> 36 -0.426309028 1.3653004 0
#> 37 -1.317045922 19.2020651 0
#> 38 0.026005373 5.0949867 0
#> 39 4.221025771 0.6331358 0
#> 40 1.496991812 6.4213729 0
#> 41 -0.367070916 10.6031626 0
#> 42 0.610886485 12.2875878 0
#> 43 2.550236585 22.4900520 0
#> 44 -0.319011891 11.5764539 0
#> 45 1.921073819 20.9175497 0
#> 46 0.479458486 21.9282940 0
#> 47 0.925199948 8.2421640 0
#> 48 0.767491859 10.7901650 0
#> 49 2.234405137 4.6322956 0
#> 50 -0.091635805 19.9102214 0
#> 51 2.463352306 6.9448170 0
#> 52 1.124294803 3.6679975 0
#> 53 2.387180241 1.9905571 0
#> 54 -0.168619285 18.2347859 0
#> 55 -0.142730060 18.6702839 0
#> 56 1.301358400 3.7402453 0
#> 57 -0.957964164 19.6956674 0
#> 58 1.476288883 9.3087544 0
#> 59 -0.931218761 10.1575732 0
#> 60 0.583219624 1.7622496 0
#> 61 0.156621360 16.4974746 0
#> 62 1.160878476 19.1097546 0
#> 63 2.103601848 6.7950034 0
#> 64 1.184154958 20.9746699 0
#> 65 3.976462623 5.6267204 0
#> 66 0.928820625 12.6759496 0
#> 67 2.348837066 10.2866467 0
#> 68 0.951757162 17.9728965 0
#> 69 -0.250135304 22.3006058 0
#> 70 1.360953044 10.7532949 0
#> 71 0.611451688 12.6714357 0
#> 72 1.456978631 1.6687625 0
#> 73 3.309912880 10.9366812 0
#> 74 1.115673704 21.5399937 0
#> 75 1.126870879 8.0772658 0
#> 76 0.772875138 15.5379729 0
#> 77 1.907974723 4.6563908 0
#> 78 2.297846750 6.8793524 0
#> 79 -0.534533629 10.6739525 0
#> 80 0.670109347 0.6586068 0
#> 81 0.144273164 6.4498020 0
#> 82 0.765375015 11.2495556 0
#> 83 -0.064471953 21.6852449 0
#> 84 -1.011902534 16.6132359 0
#> 85 1.342135510 1.5699004 0
#> 86 1.453655454 1.9780354 0
#> 87 1.447242247 14.3098037 0
#> 88 0.011456027 13.0898436 0
#> 89 1.507209612 5.4916378 0
#> 90 2.604354026 16.2925070 0
#> 91 -0.254791341 21.8345813 0
#> 92 2.675787846 21.7571665 0
#> 93 2.929609197 23.9616787 0
#> 94 1.763780780 1.4292215 0
#> 95 1.306305387 0.2410029 0
#> 96 0.993103091 3.7146427 0
#> 97 2.580694386 2.3432968 0
#> 98 1.439856938 10.5228130 0
#> 99 1.315264131 8.0858015 0
#> 100 -0.855718635 13.7175800 0