R Dataset / Package datasets / PlantGrowth
Attachment | Size |
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dataset-70955.csv | 374 bytes |
Documentation | ||||||
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On this Picostat.com statistics page, you will find information about the PlantGrowth data set which pertains to Results from an Experiment on Plant Growth. The PlantGrowth data set is found in the datasets R package. Try to load the PlantGrowth data set in R by issuing the following command at the console data("PlantGrowth"). This may load the data into a variable called PlantGrowth. If R says the PlantGrowth 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("PlantGrowth"). 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 PlantGrowth 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 PlantGrowth R data set. The size of this file is about 374 bytes. Results from an Experiment on Plant GrowthDescriptionResults from an experiment to compare yields (as measured by dried weight of plants) obtained under a control and two different treatment conditions. UsagePlantGrowth FormatA data frame of 30 cases on 2 variables.
The levels of SourceDobson, A. J. (1983) An Introduction to Statistical Modelling. London: Chapman and Hall. Examples## One factor ANOVA example from Dobson's book, cf. Table 7.4: require(stats); require(graphics) boxplot(weight ~ group, data = PlantGrowth, main = "PlantGrowth data", ylab = "Dried weight of plants", col = "lightgray", notch = TRUE, varwidth = TRUE) anova(lm(weight ~ group, data = PlantGrowth)) -- Dataset imported from https://www.r-project.org. |
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R Output | Date |
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Picostat Output - Simple Linear Regression | Nov 28, 2022 |
Picostat Output - Visual Summaries | Nov 28, 2022 |
Picostat Output - Numerical Summaries | Nov 28, 2022 |
Picostat Output - Cumulative Frequency Histogram | Nov 28, 2022 |
Picostat Output - Arithmetic Mean | Nov 28, 2022 |
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