R Dataset / Package DAAG / leaftemp

How To Create a Barplot

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How To Create a Stacked Barplot

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How To Create a Pie Chart

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How To Compute the Mean

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How To Create a Plot

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How to Compute the Median

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Boxplot

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Correlation Coefficient

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Cumulative Frequency Histogram

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Dotplot

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Hollow Histogram

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Numerical Summaries

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Pie Chart

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Plot

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Regression

Stem and Leaf Plots

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Visual Summaries

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Embed
<iframe src="https://embed.picostat.com/r-dataset-package-daag-leaftemp.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-92527.csv 1.37 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Dataset Help

On this Picostat.com statistics page, you will find information about the leaftemp data set which pertains to Leaf and Air Temperature Data. The leaftemp data set is found in the DAAG R package. You can load the leaftemp data set in R by issuing the following command at the console data("leaftemp"). This will load the data into a variable called leaftemp. If R says the leaftemp data set is not found, you can try installing the package by issuing this command install.packages("DAAG") and then attempt to reload the data. 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 leaftemp R data set. The size of this file is about 1,399 bytes.

Documentation

Leaf and Air Temperature Data

Description

These data consist of measurements of vapour pressure and of the difference between leaf and air temperature.

Usage

leaftemp

Format

This data frame contains the following columns:

CO2level

Carbon Dioxide level low, medium, high

vapPress

Vapour pressure

tempDiff

Difference between leaf and air temperature

BtempDiff

a numeric vector

Source

Katharina Siebke and Susan von Cammerer, Australian National University.

Examples

print("Fitting Multiple Lines - Example 7.3")leaf.lm1 <- lm(tempDiff ~ 1 , data = leaftemp)
leaf.lm2 <- lm(tempDiff ~ vapPress, data = leaftemp)
leaf.lm3 <- lm(tempDiff ~ CO2level + vapPress, data = leaftemp)
leaf.lm4 <- lm(tempDiff ~ CO2level + vapPress + vapPress:CO2level,
  data = leaftemp)anova(leaf.lm1, leaf.lm2, leaf.lm3, leaf.lm4)summary(leaf.lm2)
plot(leaf.lm2)
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Dataset imported from https://www.r-project.org.