Default: yada2 (2013-01-04)

Sandbox model and part of Default experiment

Description

(no description provided)

Measured data (61 lines)

XYZNote
0.037.1421.78296673350812.178296673350814274e+1
1.058.980.6537232942358673.930654147577859020e+1
2.088.00.2078313671452566.349030840803457345e+1
3.0125.3693.72858689516753.163141310483255058e+1
4.0125.36128.615095936528-3.255095936527582834e+0
5.0143.77166.312219741804-2.254221974180428460e+1
6.0162.18204.931123397104-4.275112339710396374e+1
7.0199.0242.814339670612-4.381433967061200914e+1
8.0356.44278.6870562188577.775294378114338407e+1
9.0316.0311.6947361875054.305263812494797033e+0
10.0335.88341.365541148167-5.485541148166753617e+0
11.0377.82367.5355191857651.028448081423530450e+1
12.0389.1525390.264472403804-1.111972403804229237e+0
13.0400.485409.75896036595-9.273960365949714514e+0
14.0423.15426.309812178049-3.159812178049314691e+0
15.0400.0440.245679621667-4.024567962166692838e+1
16.0400.0451.90106509304-5.190106509303961862e+1
17.0377.82461.596022397634-8.377602239763428461e+1
18.0377.82469.624567165865-9.180456716586483688e+1
19.0428.46476.249188870771-4.778918887077138302e+1
20.0479.11481.69938967963-2.589389679630342972e+0
21.0580.41486.1727085247519.423729147524862824e+1
22.0580.41489.8371443640239.057285563597680584e+1
23.0580.41492.8342490429118.757575095708872286e+1
24.0671.9495.2824229635361.766175770364642322e+2
25.0640.0497.2801319060441.427198680939563459e+2
26.0625.1498.9088887778411.261911112221591211e+2
27.0610.2500.2359258778811.099640741221189964e+2
28.0580.41501.3165344264397.909346557356060643e+1
29.0580.41502.1960784329027.821392156709804226e+1
30.0580.41502.9117065518577.749829344814299066e+1
31.0580.41503.4937933782377.691620662176321617e+1
32.0471.89503.967144036863-3.207714403686332601e+1
33.0465.66504.351995175059-3.869199517505897756e+1
34.0459.44504.664843021326-4.522484302132604030e+1
35.0447.0504.919125941675-5.791912594167487465e+1
36.0400.0505.125785461927-1.051257854619272456e+2
37.0471.89505.293726348726-3.340372634872629037e+1
38.0471.89505.430193223906-3.354019322390566087e+1
39.0447.0505.541078403193-5.854107840319269503e+1
40.0441.0505.631173222038-6.463117322203844432e+1
41.0435.05505.704373027959-7.065437302795890622e+1
42.0423.15505.763844252739-8.261384425273944186e+1
43.0471.89505.812160494446-3.392216049444639597e+1
44.0447.0505.851413301842-5.885141330184204865e+1
45.0423.15505.883302327261-8.273330232726144402e+1
46.0524.28505.9092086659611.837079133403858572e+1
47.0545.685505.9302545016913.975474549830849588e+1
48.0567.09505.9473516048266.114264839517374524e+1
49.0609.9505.9612407595071.039387592404931378e+2
50.0497.6505.972523811828-8.372523811828130881e+0
51.0525.203333333333505.9816897170491.922164361628387704e+1
52.0580.41505.9891357075097.442086429249089012e+1
53.0609.9505.9951844939411.039048155060593457e+2
54.0572.466666666667506.0000982426136.646656842405344644e+1
55.0535.033333333333506.0040899320552.902924340127821695e+1
56.0497.6506.007332580255-8.407332580255197502e+0
57.0377.82506.009966741404-1.281899667414036096e+2
58.0377.82506.012106596536-1.281921065965362868e+2
59.0377.82506.013844901703-1.281938449017034343e+2
60.0356.44506.015257007895-1.495752570078946623e+2

Manual Regression Results

Manual regression was not calculated, click here to calculate now

Proxy Models (10)

ModelParamsRMSENote
LENP type Ib (ode)n*=2.0e-14, M0=1.00099999999998, k11=2.0e-14, fr=0.08608599999998457.85126gotodownload .csv
Parabolic RegressionB=0.21723324570116, A=10.0276.64245gotodownload .csv
Live cell fraction modelr0=0.29442572174962, lambda=9.98712741219586, delta=0.49845109622855, alpha=8.4436021769690374.98122gotodownload .csv
Exponentialk=10.0, p=1.03420813277925, a=4.99999999999999193.30336gotodownload .csv
Linear Regression2Ordenada na origem=5.0, declive=5.0304.50413gotodownload .csv
Reversible Hills Equationn=1.50915706391875, t=0.99999999999999, s=139.98216662442, KA=66.2959444152999, KI=10000.0, KmATP=25.0, KmPYR=23.2700010993108, KeqPK=7296.91754207207, KmADP=5.39934798653757, KmPEP=5.97300773867632, vmax_PK=2989.23222443587150.37761gotodownload .csv
Logisticsμ max.=0.22752335170313, λ=-1.04753119874789, A=2.5838640502947873.94367gotodownload .csv
Gompertzμ max.=0.24926912376879, λ=-0.85929673465517, A=2.5924386358865273.03057gotodownload .csv
RichardsA=2.59244587378209, v=2.74649461e-06, μ max.=1.86110632e-06, λ=-0.8588308453644673.03035gotodownload .csv
Baranyim=0.971068178875, ymax=5.70502375454356, y0=3.72066129723362, v=0.92527863520883, μ max.=1.17794306038344, h0=20.071.22995gotodownload .csv
Click here for the definition of RMSEclick here for more information

Root Mean Square Error (RMSE):

Rmse

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Model and measurement plots