grofit: S7

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
0.0321959114 0.0045223376 -3.0967035 7.060316

Measured data (65 lines)

X	Y	Z	Note
0.0	0.015
0.25	0.016
0.5	0.015
0.75	0.018
1.0	0.021
1.25	0.019
1.5	0.021
1.75	0.024
2.0	0.022
2.25	0.024
2.5	0.025
2.75	0.027
3.0	0.027
3.25	0.028
3.5	0.028
3.75	0.031
4.0	0.03
4.25	0.031
4.5	0.032
4.75	0.032
5.0	0.031
5.25	0.032
5.5	0.031
5.75	0.033
6.0	0.034
6.25	0.032
6.5	0.034
6.75	0.034
7.0	0.033
7.25	0.032
7.5	0.032
7.75	0.033
8.0	0.033
8.25	0.034
8.5	0.034
8.75	0.033
9.0	0.032
9.25	0.033
9.5	0.033
9.75	0.032
10.0	0.033
10.25	0.032
10.5	0.032
10.75	0.033
11.0	0.032
11.25	0.032
11.5	0.032
11.75	0.031
12.0	0.032
12.25	0.032
12.5	0.031
12.75	0.032
13.0	0.032
13.25	0.031
13.5	0.032
13.75	0.031
14.0	0.032
14.25	0.032
14.5	0.032
14.75	0.031
15.0	0.032
15.25	0.031
15.5	0.031
15.75	0.03
16.0	0.031

Download table as .csv

Manual Regression Results

Manual regression was not calculated, click here to calculate now

Proxy Models (3)

Model	Params	RMSE
Richards (log y = false)	A=0.0321959127195, lambda=-3.0967047934966, miu=0.00532363168316, v=7.0602410077208	0.00097	goto	download .csv
Richards (log y = false): grofit	A=0.0321959114, lambda=-3.0967035, miu=0.0045223376, v=7.060316	0.00199	goto	download .csv
Baranyi	h0=-0.93314076005601, m=0.23057330071513, μ max.=0.86317543464588, v=0.14808644232298, y0=-4.25517091143651, ymax=0.0	0.00083	goto	download .csv