Soybean: Growth of soybean plants

Description Format Details Source Examples

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

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str(Soybean)
#summary(fm1 <- nlsList(SSlogis, data = Soybean))

Example output

Loading required package: lme4
Loading required package: Matrix

Attaching package: 'MEMSS'

The following objects are masked from 'package:datasets':

    CO2, Orange, Theoph

'data.frame':	412 obs. of  5 variables:
 $ Plot   : Factor w/ 48 levels "1988F1","1988F2",..: 1 1 1 1 1 1 1 1 1 1 ...
 $ Variety: Factor w/ 2 levels "F","P": 1 1 1 1 1 1 1 1 1 1 ...
 $ Year   : Factor w/ 3 levels "1988","1989",..: 1 1 1 1 1 1 1 1 1 1 ...
 $ Time   : num  14 21 28 35 42 49 56 63 70 77 ...
 $ weight : num  0.106 0.261 0.666 2.11 3.56 ...

MEMSS documentation built on May 2, 2019, 5:50 p.m.

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