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The CO2 data frame has 84 rows and 5 columns of data from an experiment on the cold tolerance of the grass species Echinochloa crus-galli.

Usage

df_co2

Format

A data frame with 84 rows and 5 variables:

Plant

an ordered factor with levels Qn1 < Qn2 < Qn3 < ... < Mc1 giving a unique identifier for each plant). Used as a grouping factor.

Type

a factor with levels Quebec Mississippi giving the origin of the plant

Treatment

a factor with levels nonchilled chilled

conc

a numeric vector of ambient carbon dioxide concentrations (mL/L)

uptake

a numeric vector of carbon dioxide uptake rates (in \(\mu\)mol/m²/sec)

Source

Potvin, C., Lechowicz, M. J. and Tardif, S. (1990) “The statistical analysis of ecophysiological response curves obtained from experiments involving repeated measures”, Ecology, 71, 1389–1400. Pinheiro, J. C. and Bates, D. M. (2000) Mixed-effects Models in S and S-PLUS, Springer.

Details

Grouped formulas like uptake ~ conc | Plant are useful in lattice graphics and mixed-effect models. The vertical bar (`|`) separates the grouping variable. This allows modeling or plotting the response (uptake) versus the predictor (conc) within each level of Plant.

Examples

data(df_co2)
head(df_co2)
#>   Plant   Type  Treatment conc uptake
#> 1   Qn1 Quebec nonchilled   95   16.0
#> 2   Qn1 Quebec nonchilled  175   30.4
#> 3   Qn1 Quebec nonchilled  250   34.8
#> 4   Qn1 Quebec nonchilled  350   37.2
#> 5   Qn1 Quebec nonchilled  500   35.3
#> 6   Qn1 Quebec nonchilled  675   39.2