R Dataset / Package gamclass / loti

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-gamclass-loti.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-68281.csv 8.33 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 loti data set which pertains to Global temperature anomalies. The loti data set is found in the gamclass R package. You can load the loti data set in R by issuing the following command at the console data("loti"). This will load the data into a variable called loti. If R says the loti data set is not found, you can try installing the package by issuing this command install.packages("gamclass") 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 loti R data set. The size of this file is about 8,533 bytes.

Documentation

Global temperature anomalies

Description

Anomalies, for the years 1880 to 2010, from the 1951 - 1980 average. These are the GISS (Goddard Institute for Space Studies) Land-Ocean Temperature Index (LOTI) data

Usage

loti

Format

A data frame with 131 observations on the following 19 variables.

Jan

a numeric vector

Feb

a numeric vector

Mar

a numeric vector

Apr

a numeric vector

May

a numeric vector

Jun

a numeric vector

Jul

a numeric vector

Aug

a numeric vector

Sep

a numeric vector

Oct

a numeric vector

Nov

a numeric vector

Dec

a numeric vector

J.D

Jan-Dec averages

D.N

Dec-Nov averages

DJF

Dec-Jan-Feb averages

MAM

Mar-Apr-May

JJA

Jun-Jul-Aug

SON

Sept-Oct-Nov

Year

a numeric vector

Source

http://data.giss.nasa.gov/gistemp/tabledata/GLB.Ts+dSST.txt

Examples

data(loti)
--

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

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