R Dataset / Package Stat2Data / CloudSeeding2
On this Picostat.com statistics page, you will find information about the CloudSeeding2 data set which pertains to Cloud Seeding 2. The CloudSeeding2 data set is found in the Stat2Data R package. Try to load the CloudSeeding2 data set in R by issuing the following command at the console data("CloudSeeding2"). This may load the data into a variable called CloudSeeding2. If R says the CloudSeeding2 data set is not found, you can try installing the package by issuing this command install.packages("Stat2Data") and then attempt to reload the data with library("Stat2Data") followed by data("CloudSeeding2"). 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 CloudSeeding2 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 CloudSeeding2 R data set. The size of this file is about 4,464 bytes.
Cloud Seeding 2
Rainfall amounts from a cloud seeding experiment
A dataset with 108 observations on the following 8 variables.
Researchers were interested in whether seeded clouds would produce more rainfall. An experiment was conducted in Tasmania between 1964 and 1971 and rainfall amounts were measured in inches per rainfall period. The researchers measured the amount of rainfall in two target areas: East (TE) and West (TW). They also measured the amount of rainfall in three control locations. Clouds were coded as being either seeded (treatment) or unseeded (control). A subset (only Winter months) of these data is stored in CloudSeeding. All rainfall amounts are in inches.
Data were accessed from the website www.statsci.org/data/oz/cloudtas.html. This is the web home of the Australasian Data and Story Library (OzDASL).
A.J. Miller, D.E. Shaw, L.G. Veitch, and E.J. Smith, (1979) "Analyzing the results of a cloud-seeding experiment in Tasmania" in Communications in Statistics: Theory and Methods, A8 (10), pp. 1017-1047.
Dataset imported from https://www.r-project.org.
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