woodyplants | R Documentation |
Meta-analysis on effects of elevated CO_2 on total biomass of woody plants
This dataset has been used as an example in Hedges et al. (1999) to describe methods for the meta-analysis of response ratios. The complete dataset with 102 observations and 26 variables is available online as a supplement. Here only a subset of 10 variables is provided and used in the examples.
A data frame with the following columns:
obsno | observation number |
papno | database paper number |
treat | treatment code |
level | treatment level |
n.elev | number of observations in experimental group (elevated CO_2-level) |
mean.elev | estimated mean in experimental group |
sd.elev | standard deviation in experimental group |
n.amb | number of observations in control group (ambient CO_2-level) |
mean.amb | estimated mean in control group |
sd.amb | standard deviation in control group |
Hedges LV, Gurevitch J, Curtis PS (1999): The meta-analysis of response ratios in experimental ecology. Ecology, 80, 1150–6
data(woodyplants)
# Meta-analysis of response ratios (Hedges et al., 1999)
#
m1 <- metacont(n.elev, mean.elev, sd.elev, n.amb, mean.amb, sd.amb,
data = woodyplants, sm = "ROM", studlab = paste(obsno, papno, sep = " / "))
print(m1, prediction = TRUE)
# Meta-analysis for plants grown with low soil fertility treatment
#
m2 <- update(m1, subset = (treat == "fert" & level == "low"))
print(m2, prediction = TRUE)
# Meta-analysis for plants grown under low light conditions
#
m3 <- update(m1, subset = (treat == "light" & level == "low"))
print(m3, prediction = TRUE)
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