R Dataset / Package psych / income

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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<iframe src="https://embed.picostat.com/r-dataset-package-psych-income.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-57763.csv 1.57 KB
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 income data set which pertains to US family income from US census 2008. The income data set is found in the psych R package. Try to load the income data set in R by issuing the following command at the console data("income"). This may load the data into a variable called income. If R says the income data set is not found, you can try installing the package by issuing this command install.packages("psych") and then attempt to reload the data with library("psych") followed by data("income"). 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 income 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 income R data set. The size of this file is about 1,610 bytes.


US family income from US census 2008

Description

US census data on family income from 2008

Usage

data(income)

Format

A data frame with 44 observations on the following 4 variables.

value

lower boundary of the income group

count

Number of families within that income group

mean

Mean of the category

prop

proportion of families

Details

The distribution of income is a nice example of a log normal distribution. It is also an interesting example of the power of graphics. It is quite clear when graphing the data that income statistics are bunched to the nearest 5K. That is, there is a clear sawtooth pattern in the data.

The all.income set is interpolates intervening values for 100-150K, 150-200K and 200-250K

Source

US Census: Table HINC-06. Income Distribution to $250,000 or More for Households: 2008

http://www.census.gov/hhes/www/cpstables/032009/hhinc/new06_000.htm

Examples

data(income)
with(income[1:40,], plot(mean,prop, main="US family income for 2008",xlab="income", 
        ylab="Proportion of families",xlim=c(0,100000)))
with (income[1:40,], points(lowess(mean,prop,f=.3),typ="l"))
describe(income)
with(all.income, plot(mean,prop, main="US family income for 2008",xlab="income", 
                ylab="Proportion of families",xlim=c(0,250000)))
with (all.income[1:50,], points(lowess(mean,prop,f=.25),typ="l"))
#curve(100000* dlnorm(x, 10.8, .8), x = c(0,250000),ylab="Proportion")

--

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