R Dataset / Package Ecdat / PatentsHGH

How To Create a Barplot

Webform

Please see the full application for additional options and documentation.

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Description

Describes how to create a bar plot based on count data. For an example of count data, see the email50 curated data set which was taken from the Open Intro AHSS textbook (not affiliated). An example of count data in this dataset would be the spam column.

Usage

Select one (1) column to create its barplot and then click 'Submit'. If you do not choose count data, you may get unexpected results.

See Also

Students may also be interested in creating barplots for contingency tables.

For a stacked side-by-side barplot, see the other barplot app.

How To Create a Stacked Barplot

Webform

Please see the full application for additional options and documentation.

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Usage

Select 1 (one) column from a contingency table like the Gender and Politics or VADeaths curated datasets.

If you do not choose a contingency table, you may get unexpected results. You can import a dataset if you are logged-in.

Details

Shows the student how to create a single stacked bar plot based on a column in a contingency table.

See Also

For a basic barplot (single column) based on count data see the count data barplot app.

For a stacked side-by-side barplot see the other stacked barplot app for categorical data.

How To Create a Pie Chart

Webform

Please see the full application for additional options and documentation.

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.
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Usage

Select 1 (one) column from a contingency table. If you don't have your own dataset, you can choose the Gender and Politics or VADeaths curated datasets. If a contingency table is not chosen, you may get unexpected results.

A contingency table has columns like a regular dataset, but the first row contains row names that categorize and "split-up" the dataset. An example of a contingency table would be something like this:

LIBERAL CONSERVATIVE
F 762 468
M 484 477

This contingency table is take from the Gender and Politics dataset. You can get a preview by selecting the dataset from the Curated Data dropdown above.

Details

This app shows the student how to create a pie chart from a contingency table by hand using a Quadstat dataset.

A pie chart shows proportions of a sample or population. Each piece of a pie chart corresponds to some subset of the sample or population. In this case, we will use the contingency table rows to subset the sample.

See Also

Students may also want to view the app for creating a pie chart from count data.

How To Compute the Mean

Webform

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Usage

Click "Submit" after selecting one column to see how to compute the arithmetic mean (average) of data (vectors).

Description

If all the values of a sample were plotted on a number line, the average would be the point in the middle that would balance the two sides.

The average is greatly influenced by outliers, meaning extreme points can pull the average to the left or right.

If we are referring to the average of population (all observations), the symbol for the average (arithmetic mean) is $\mu$.

If we are referring to the average of a sample (a subset of the population), the symbol for the average (arithmetic mean) is $\bar{x}$.

Computing the average

Suppose we have a sample consisting of $x_1, x_2, x_3,...,x_n$. This means we have $n$ observations. Then,

$$\bar{x}=\frac{x_1, x_2, x_3,...,x_n}{n}.$$

The formula tells us that we need to add all the observations and then divide by the number of observations to compute the mean.

Example 1

Compute the mean of $A = \{1,2,3\}$.

$$\bar{x} = \frac{1+2+3}{3} = 2.$$

How To Create a Plot

Webform

Please see the full application for additional options and documentation.

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Usage

Select two columns which are to be used in the scatterplot. The first column clicked will be the independent variable (X-axis).

Description

This web application describes how to create a scatterplot of two dataset variables plotted on the xy-axes.

How to Compute the Median

Webform

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Median Value

Description

Compute the sample median.

Usage

median(x, na.rm = FALSE, ...)

Arguments

x

an object for which a method has been defined, or a numeric vector containing the values whose median is to be computed.

na.rm

a logical value indicating whether NA values should be stripped before the computation proceeds.

...

potentially further arguments for methods; not used in the default method.

Value

The default method returns a length-one object of the same type as x, except when x is logical or integer of even length, when the result will be double.

If there are no values or if na.rm = FALSE and there are NA values the result is NA of the same type as x (or more generally the result of x[FALSE][NA]).

References

Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.

Boxplot

Submitted by pmagunia on April 22, 2018 - 3:07 PM

Please see the full application for additional options and documentation.

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Correlation Coefficient

Submitted by pmagunia on April 22, 2018 - 3:08 PM

Please see the full application for additional options and documentation.

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Cumulative Frequency Histogram

Submitted by pmagunia on April 22, 2018 - 3:09 PM

Please see the full application for additional options and documentation.

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Dotplot

Submitted by pmagunia on April 22, 2018 - 3:10 PM

Please see the full application for additional options and documentation.

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Hollow Histogram

Submitted by pmagunia on April 22, 2018 - 3:10 PM

Please see the full application for additional options and documentation.

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Mean

Submitted by pmagunia on April 22, 2018 - 3:11 PM

Please see the full application for additional options and documentation.

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Pie Chart

Submitted by pmagunia on April 22, 2018 - 3:11 PM

Please see the full application for additional options and documentation.

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Plot

Submitted by pmagunia on April 22, 2018 - 3:07 PM

Please see the full application for additional options and documentation.

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Regression

Submitted by pmagunia on April 22, 2018 - 3:12 PM

Please see the full application for additional options and documentation.

Stem and Leaf Plots

Submitted by pmagunia on April 22, 2018 - 3:12 PM

Please see the full application for additional options and documentation.

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Summary

Submitted by pmagunia on April 22, 2018 - 2:51 PM

Please see the full application for additional options and documentation.

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.

Visual Summaries

Submitted by pmagunia on April 22, 2018 - 3:13 PM

Please see the full application for additional options and documentation.

The Drupal File ID of the selected dataset. The user may load another using the search bar on the operation's page.
Submitted by pmagunia on March 9, 2018 - 1:06 PM
Attachment Size
dataset-83742.csv 157.96 KB
Dataset License
GNU General Public License v2.0
Documentation

Dynamic Relation Between Patents and R\&D

Description

a panel of 346 observations from 1975 to 1979

number of observations : 1730

observation : production units

country : United States

Usage

data(PatentsHGH)

Format

A dataframe containing :

obsno

firm index

year

year

cusip

Compustat's identifying number for the firm (Committee on Uniform Security Identification Procedures number)

ardsic

a two-digit code for the applied R&D industrial classification (roughly that in Bound, Cummins, Griliches, Hall, and Jaffe, in the Griliches R&D, Patents, and Productivity volume)

scisect

is the firm in the scientific sector ?

logk

the logarithm of the book value of capital in 1972.

sumpat

the sum of patents applied for between 1972-1979.

logr

the logarithm of R&D spending during the year (in 1972 dollars)

logr1

the logarithm of R&D spending (one year lag)

logr2

the logarithm of R&D spending (two years lag)

logr3

the logarithm of R&D spending (three years lag)

logr4

the logarithm of R&D spending (four years lag)

logr5

the logarithm of R&D spending (five years lag)

pat

the number of patents applied for during the year that were eventually granted

pat1

the number of patents (one year lag)

pat2

the number of patents (two years lag)

pat3

the number of patents (three years lag)

pat4

the number of patents (four years lag)

Source

Hall, Bronwyn , Zvi Griliches and Jerry Hausman (1986) “Patents and R&D: Is There a Lag?”, International Economic Review, 27, 265-283.

References

Cameron, A.C. and Trivedi P.K. (1998) Regression analysis of count data, Cambridge University Press, http://cameron.econ.ucdavis.edu/racd/racddata.html, chapter 9.

Cameron, A.C. and P.K. Trivedi (2005) Microeconometrics : methods and applications, Cambridge, pp. 792–5.

See Also

Index.Source, Index.Economics, Index.Econometrics, Index.Observations,

Index.Time.Series

--

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

Documentation License
GNU General Public License v2.0

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