R Dataset / Package datasets / CO2
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| Attachment | Size |
|---|---|
| dataset-13357.csv | 2.52 KB |
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
| Documentation |
|---|
On this Picostat.com statistics page, you will find information about the CO2 data set which pertains to Carbon Dioxide Uptake in Grass Plants. The CO2 data set is found in the datasets R package. Try to load the CO2 data set in R by issuing the following command at the console data("CO2"). This may load the data into a variable called CO2. If R says the CO2 data set is not found, you can try installing the package by issuing this command install.packages("datasets") and then attempt to reload the data with library("datasets") followed by data("CO2"). Perhaps strangley, if R gives you no output after entering a command, it means the command succeeded. If it succeeded you can see the data by typing CO2 at the command-line which should display the entire dataset. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the CO2 R data set. The size of this file is about 2,580 bytes. Carbon Dioxide Uptake in Grass PlantsDescriptionThe UsageCO2 FormatAn object of class
DetailsThe CO2 uptake of six plants from Quebec and six plants from Mississippi was measured at several levels of ambient CO2 concentration. Half the plants of each type were chilled overnight before the experiment was conducted. This dataset was originally part of package SourcePotvin, 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. Examples
require(stats); require(graphics)coplot(uptake ~ conc | Plant, data = CO2, show.given = FALSE, type = "b")
## fit the data for the first plant
fm1 <- nls(uptake ~ SSasymp(conc, Asym, lrc, c0),
data = CO2, subset = Plant == "Qn1")
summary(fm1)
## fit each plant separately
fmlist <- list()
for (pp in levels(CO2$Plant)) {
fmlist[[pp]] <- nls(uptake ~ SSasymp(conc, Asym, lrc, c0),
data = CO2, subset = Plant == pp)
}
## check the coefficients by plant
print(sapply(fmlist, coef), digits = 3)
-- Dataset imported from https://www.r-project.org. |
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| R Output | Date |
|---|---|
| Picostat Output - Boxplot | May 3, 2020 |
| Picostat Output - Bar Plot for Contingency Tables | Mar 11, 2020 |
| Picostat Output - Stem and Leaf | Mar 11, 2020 |
| Picostat Output - Simple Linear Regression | Mar 11, 2020 |
| Picostat Output - Pie chart | Mar 11, 2020 |
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