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Compute the corresponding quantile given confident interval bounds

Usage

math.qt(ci = 0.9)

math.mm(Vmax, S, Km, V, round = NULL)

Arguments

ci

confident interval eg. 0.9 for 90 percent confident intervals

Vmax

The maximum velocity of the enzymatic reaction.

S

The substrate concentration.

Km

The substrate concentration at which the reaction rate is half of Vmax.

V

The current velocity of the enzymatic reaction

round

round result to number of decimal places

Value

vector of two numeric values for the quantile based on the confident interval chosen

result of calculation of Michaelis-Menten equation

Examples


# Get the bounds for 90% confident intervals
math.qt(0.9)
#> [1] 0.95 0.05

# Get the bounds for 95% confident intervals
# use the bounds to obtain quartile
values = number(100)
values
#>   [1] 359260626 368221838 483042687 870131666  62733029 109223237 667995959
#>   [8] 351693918 691789031 713603917  81942227 725366888 761862214 786280291
#>  [15] 567355881 423975073 368155281 213404111 989796930 920810920 699060670
#>  [22] 501683940 651211721 122456571 877662456 242745245 268460318  57187700
#>  [29] 483436664 879106300 185263354 729098265  57820740 317418108 991231294
#>  [36] 163001476 431725693  55356427 890909582 511030826 586039434 764088705
#>  [43] 265678445 922044610 542750453 684796673 985971426  21730612 547744612
#>  [50] 113177268 618165892 311652864 847668387 720177668  45533169  35399543
#>  [57] 403824668 402159537 967187903 446602062 492371572 849516133 972632371
#>  [64] 339960427 207482094  91025226 449917866 392054235 225694087  63416129
#>  [71] 658798843 465200626 937148200 251387636 962507853 989139661 238239587
#>  [78] 205783011 486979911 433634519  23538982 866274810 428422168 801913291
#>  [85] 617613581 180622873 162176338 134378123 851868852 919463090 184563029
#>  [92]  69547758 691353684 938521527 561368817  33680892  62541986 944709481
#>  [99] 861278716 255574511
ci = math.qt(0.95)
getquart = quantile(values, probs = ci)
getquart
#>     97.5%      2.5% 
#> 987634749  34497251 

math.mm(3,500,0.5)
#> [1] 2.997003