R Dataset / Package HSAUR / clouds

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-hsaur-clouds.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-84421.csv 972 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 clouds data set which pertains to Cloud Seeding Data . The clouds data set is found in the HSAUR R package. Try to load the clouds data set in R by issuing the following command at the console data("clouds"). This may load the data into a variable called clouds. If R says the clouds data set is not found, you can try installing the package by issuing this command install.packages("HSAUR") and then attempt to reload the data with library("HSAUR") followed by data("clouds"). 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 clouds 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 clouds R data set. The size of this file is about 972 bytes.


Cloud Seeding Data

Description

Data from an experiment investigating the use of massive amounts of silver iodide (100 to 1000 grams per cloud) in cloud seeding to increase rainfall.

Usage

data("clouds")

Format

A data frame with 24 observations on the following 7 variables.

seeding

a factor indicating whether seeding action occured (no or yes).

time

number of days after the first day of the experiment.

sne

suitability criterion.

cloudcover

the percentage cloud cover in the experimental area, measured using radar.

prewetness

the total rainfall in the target area one hour before seeding (in cubic metres times 1e+8).

echomotion

a factor showing whether the radar echo was moving or stationary.

rainfall

the amount of rain in cubic metres times 1e+8.

Details

Weather modification, or cloud seeding, is the treatment of individual clouds or storm systems with various inorganic and organic materials in the hope of achieving an increase in rainfall. Introduction of such material into a cloud that contains supercooled water, that is, liquid water colder than zero Celsius, has the aim of inducing freezing, with the consequent ice particles growing at the expense of liquid droplets and becoming heavy enough to fall as rain from clouds that otherwise would produce none.

The data available in cloud were collected in the summer of 1975 from an experiment to investigate the use of massive amounts of silver iodide 100 to 1000 grams per cloud) in cloud seeding to increase rainfall. In the experiment, which was conducted in an area of Florida, 24 days were judged suitable for seeding on the basis that a measured suitability criterion (SNE).

Source

W. L. Woodley, J. Simpson, R. Biondini and J. Berkeley (1977), Rainfall results 1970-75: Florida area cumulus experiment. Science 195, 735–742.

R. D. Cook and S. Weisberg (1980), Characterizations of an empirical influence function for detecting influential cases in regression. Technometrics 22, 495–508.

Examples

  data("clouds", package = "HSAUR")
  layout(matrix(1:2, nrow = 2))
  boxplot(rainfall ~ seeding, data = clouds, ylab = "Rainfall")
  boxplot(rainfall ~ echomotion, data = clouds, ylab = "Rainfall")    
--

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