R Dataset / Package DAAG / dewpoint

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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Ratio

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Regression

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Stem and Leaf Plots

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Visual Summaries

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Submitted by pmagunia on March 9, 2018 - 1:06 PM
<iframe src="https://embed.picostat.com/r-dataset-package-daag-dewpoint.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-91216.csv 647 bytes
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 dewpoint data set which pertains to Dewpoint Data. The dewpoint data set is found in the DAAG R package. Try to load the dewpoint data set in R by issuing the following command at the console data("dewpoint"). This may load the data into a variable called dewpoint. If R says the dewpoint 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 with library("DAAG") followed by data("dewpoint"). 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 dewpoint 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 dewpoint R data set. The size of this file is about 647 bytes.


Dewpoint Data

Description

The dewpoint data frame has 72 rows and 3 columns. Monthly data were obtained for a number of sites (in Australia) and a number of months.

Usage

dewpoint

Format

This data frame contains the following columns:

maxtemp

monthly minimum temperatures

mintemp

monthly maximum temperatures

dewpt

monthly average dewpoint for each combination of minimum and maximum temperature readings (formerly dewpoint)

Source

Dr Edward Linacre, visiting fellow in the Australian National University Department of Geography.

Examples

print("Additive Model - Example 7.5")
require(splines)
attach(dewpoint)   
ds.lm <- lm(dewpt ~ bs(maxtemp,5) + bs(mintemp,5), data=dewpoint)
ds.fit <-predict(ds.lm, type="terms", se=TRUE)
oldpar <- par(mfrow=c(1,2))
plot(maxtemp, ds.fit$fit[,1], xlab="Maximum temperature",
     ylab="Change from dewpoint mean",type="n")
lines(maxtemp,ds.fit$fit[,1])
lines(maxtemp,ds.fit$fit[,1]-2*ds.fit$se[,1],lty=2)
lines(maxtemp,ds.fit$fit[,1]+2*ds.fit$se[,1],lty=2)
plot(mintemp,ds.fit$fit[,2],xlab="Minimum temperature",
     ylab="Change from dewpoint mean",type="n")
ord<-order(mintemp)
lines(mintemp[ord],ds.fit$fit[ord,2])
lines(mintemp[ord],ds.fit$fit[ord,2]-2*ds.fit$se[ord,2],lty=2)
lines(mintemp[ord],ds.fit$fit[ord,2]+2*ds.fit$se[ord,2],lty=2)
detach(dewpoint)
par(oldpar)
--

Dataset imported from https://www.r-project.org.
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