grofit: S6

Comparing BGFit with R model and part of grofit experiment

Test estimations with grofit package

Description

Best fit by R - grofit

Nonlinear regression model
model: data ~ richards(time, A, miu, lambda, v)
data: parent.frame()
A miu lambda v
0.036887886 0.0062242493 -1.8372866 10.877382

Measured data (65 lines)

XYZNote
0.00.016
0.250.015
0.50.015
0.750.018
1.00.021
1.250.02
1.50.023
1.750.024
2.00.023
2.250.025
2.50.027
2.750.029
3.00.029
3.250.032
3.50.033
3.750.035
4.00.035
4.250.035
4.50.036
4.750.037
5.00.036
5.250.038
5.50.038
5.750.039
6.00.039
6.250.038
6.50.04
6.750.038
7.00.037
7.250.037
7.50.036
7.750.037
8.00.037
8.250.038
8.50.039
8.750.037
9.00.037
9.250.038
9.50.038
9.750.037
10.00.037
10.250.037
10.50.037
10.750.038
11.00.037
11.250.037
11.50.037
11.750.037
12.00.037
12.250.037
12.50.036
12.750.036
13.00.036
13.250.036
13.50.036
13.750.036
14.00.036
14.250.035
14.50.037
14.750.037
15.00.035
15.250.035
15.50.034
15.750.035
16.00.035

Manual Regression Results

Manual regression was not calculated, click here to calculate now

Proxy Models (3)

ModelParamsRMSENote
Richards (log y = false)A=0.03688788744377, lambda=-1.83729585302668, miu=0.0071563820182, v=10.87721891669460.00114gotodownload .csv
Richards (log y = false): grofitA=0.036887886, lambda=-1.8372866, miu=0.0062242493, v=10.8773820.00194gotodownload .csv
Baranyih0=-3.13066094968687, m=0.16452820035057, μ max.=2.51768977598092, v=0.26565781213794, y0=-4.1531355443622, ymax=2.948030584170150.00089gotodownload .csv
Click here for the definition of RMSEclick here for more information

Root Mean Square Error (RMSE):

Rmse

For more information: link to Wikipedia articleTrans

Model and measurement plots