grofit: S4

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
0.2306449 0.03300194 6.691973 15.2514

Measured data (65 lines)

XYZNote
0.00.017
0.250.015
0.50.017
0.750.018
1.00.022
1.250.022
1.50.024
1.750.026
2.00.025
2.250.028
2.50.03
2.750.032
3.00.034
3.250.036
3.50.038
3.750.041
4.00.042
4.250.043
4.50.045
4.750.047
5.00.045
5.250.048
5.50.051
5.750.053
6.00.054
6.250.056
6.50.059
6.750.059
7.00.061
7.250.063
7.50.064
7.750.068
8.00.07
8.250.073
8.50.078
8.750.078
9.00.079
9.250.084
9.50.086
9.750.09
10.00.093
10.250.097
10.50.099
10.750.104
11.00.107
11.250.112
11.50.114
11.750.12
12.00.125
12.250.128
12.50.133
12.750.139
13.00.144
13.250.147
13.50.156
13.750.162
14.00.17
14.250.176
14.50.182
14.750.19
15.00.196
15.250.205
15.50.212
15.750.217
16.00.221
Download table as .csv

Manual Regression Results

Manual regression was not calculated, click here to calculate now

Proxy Models (3)

ModelParamsRMSENote
Richards (log y = false)A=0.22148401325007, lambda=8.56439592840837, miu=0.03181283522353, v=69.1257641555290.00241gotodownload .csv
Richards (log y = false): grofitA=0.2306449, lambda=6.691973, miu=0.03300194, v=15.25140.02152gotodownload .csv
Baranyih0=-0.50372777287696, m=0.15443831440578, μ max.=0.35305323717288, v=0.20501094592031, y0=-4.21359720693544, ymax=10.00.00212gotodownload .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

Download table as .csv

Model and measurement plots