use simulated data to evaluate fitting function

Source: R/simulate-fit.R

use simulated data to evaluate fitting function

simulate_partition_fit(x, ff, ideal.para, extra, patition, times, trim,
  enlarge, scale, details = TRUE)

Arguments

x

numeric. see simulate_data
ff

function. see simulate_data
ideal.para

numeric. see simulate_data. ideal value for para
times

integer scalar. see partition_fit
scale

integer scalar. how many times is ideal.para enlarged to generate the initial range
details

logical scalar. whether result should include extra information.

Value

vector. see examples for details.

See also

Other simulate functions: simulate_data

Examples

simulate_partition_fit(seq(60,240,60), f_protein, ideal.para11 , extra11, 10,3,1/3, 1, 3)
#>       time     assess    RSquare        len      times       trim    enlarge 
#>  0.4162054  1.0005000  0.9999999 10.0000000  3.0000000  0.3333333  1.0000000 
#>      scale        K.i      K.nat        k.d         mu     iOD600 
#>  3.0000000  0.9000000  0.1000000  0.0200000  0.0044000  0.5000000 
simulate_partition_fit(seq(0,270,30), f_AI2_out, ideal.para2 , extra2, 3,1,1/3, 1, 3)
#>        time      assess     RSquare         len       times        trim 
#> 0.007909536 1.778446652 0.999051496 3.000000000 1.000000000 0.333333333 
#>     enlarge       scale        k.in       k.out         k.p   IPTG.ACDB 
#> 1.000000000 3.000000000 0.008000000 0.045000000 0.006000000 1.000000000 
#>      IPTG.K   AI2.out.0 
#> 1.000000000 1.000000000