Soybean: Growth of soybean plants
In nlme: Linear and Nonlinear Mixed Effects Models
Soybean R Documentation
Growth of soybean plants
Description
The Soybean data frame has 412 rows and 5 columns.
Format
This data frame contains the following columns:
- Plot
-
a factor giving a unique identifier for each plot.
- Variety
-
a factor indicating the variety; Forrest (F) or Plant
Introduction #416937 (P).
- Year
-
a factor indicating the year the plot was planted.
- Time
-
a numeric vector giving the time the sample was taken (days
after planting).
- weight
-
a numeric vector giving the average leaf weight per plant (g).
Details
These data are described in
Davidian and Giltinan (1995, 1.1.3, p.7) as “Data from an
experiment to compare growth patterns of two genotypes of soybeans:
Plant Introduction #416937 (P), an experimental strain, and Forrest
(F), a commercial variety.”
Source
Pinheiro, J. C. and Bates, D. M. (2000), Mixed-Effects Models in S
and S-PLUS, Springer, New York. (Appendix A.27)
Davidian, M. and Giltinan, D. M. (1995), Nonlinear Models for
Repeated Measurement Data, Chapman and Hall, London.
Examples
summary(fm1 <- nlsList(SSlogis, data = Soybean))
nlme documentation built on Nov. 27, 2023, 5:09 p.m.
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| Soybean | R Documentation |
Growth of soybean plants
Description
The Soybean data frame has 412 rows and 5 columns.
Format
This data frame contains the following columns:
- Plot
-
a factor giving a unique identifier for each plot.
- Variety
-
a factor indicating the variety; Forrest (F) or Plant Introduction #416937 (P).
- Year
-
a factor indicating the year the plot was planted.
- Time
-
a numeric vector giving the time the sample was taken (days after planting).
- weight
-
a numeric vector giving the average leaf weight per plant (g).
Details
These data are described in Davidian and Giltinan (1995, 1.1.3, p.7) as “Data from an experiment to compare growth patterns of two genotypes of soybeans: Plant Introduction #416937 (P), an experimental strain, and Forrest (F), a commercial variety.”
Source
Pinheiro, J. C. and Bates, D. M. (2000), Mixed-Effects Models in S and S-PLUS, Springer, New York. (Appendix A.27)
Davidian, M. and Giltinan, D. M. (1995), Nonlinear Models for Repeated Measurement Data, Chapman and Hall, London.
Examples
summary(fm1 <- nlsList(SSlogis, data = Soybean))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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