R Dataset / Package datasets / infert

How To Create a Barplot

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Visual
Instructional

How To Create a Stacked Barplot

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Visual
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How To Create a Pie Chart

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Visual

How To Compute the Mean

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Numerical
Instructional

How To Create a Plot

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Visual
Instructional

How to Compute the Median

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Numerical

Boxplot

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

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

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Dotplot

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Hollow Histogram

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

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

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

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

Submitted by pmagunia on December 18, 2021 - 4:28 PM

Regression

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

Stem and Leaf Plots

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

Submitted by pmagunia on April 22, 2018 - 3:13 PM
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Submitted by pmagunia on March 9, 2018 - 1:06 PM
<iframe src="https://embed.picostat.com/r-dataset-package-datasets-infert.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-65073.csv 6.56 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 infert data set which pertains to Infertility after Spontaneous and Induced Abortion. The infert data set is found in the datasets R package. Try to load the infert data set in R by issuing the following command at the console data("infert"). This may load the data into a variable called infert. If R says the infert data set is not found, you can try installing the package by issuing this command install.packages("datasets") and then attempt to reload the data with library("datasets") followed by data("infert"). 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 infert 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 infert R data set. The size of this file is about 6,715 bytes.


Infertility after Spontaneous and Induced Abortion

Description

This is a matched case-control study dating from before the availability of conditional logistic regression.

Usage

infert

Format

1. Education 0 = 0-5 years
1 = 6-11 years
2 = 12+ years
2. age age in years of case
3. parity count
4. number of prior 0 = 0
induced abortions 1 = 1
2 = 2 or more
5. case status 1 = case
0 = control
6. number of prior 0 = 0
spontaneous abortions 1 = 1
2 = 2 or more
7. matched set number 1-83
8. stratum number 1-63

Note

One case with two prior spontaneous abortions and two prior induced abortions is omitted.

Source

Trichopoulos et al (1976) Br. J. of Obst. and Gynaec. 83, 645–650.

Examples

require(stats)
model1 <- glm(case ~ spontaneous+induced, data = infert, family = binomial())
summary(model1)
## adjusted for other potential confounders:
summary(model2 <- glm(case ~ age+parity+education+spontaneous+induced,
                     data = infert, family = binomial()))
## Really should be analysed by conditional logistic regression
## which is in the survival package
if(require(survival)){
  model3 <- clogit(case ~ spontaneous+induced+strata(stratum), data = infert)
  print(summary(model3))
  detach()  # survival (conflicts)
}

--

Dataset imported from https://www.r-project.org.
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    • Cumulative Frequency Histogram - Display a cumulative frequency histogram
    • Dotplot
    • Hollow Histogram - Plot two columns on the same histogram with a different color for each column.
    • Pie Chart
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    • Stem and Leaf Plots - Plot a one or two-sided stem-and-leaf plot from one or two columns respectively.
    • Visual Summaries - plots the following:
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      2. Relative Frequency Histogram
      3. Cumulative Frequency Histogram
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    • How To Create a Stacked Barplot - This application will show you how to create a stacked bar plot from a column vector.
    • How To Create a Pie Chart - This application will show you how to create a pie chart from a column of data
    • How To Compute the Mean - This application will show you how to compute the mean from a column vector
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    • How To Compute the Media - This statisistical app will show you how to compute the median from a column vector.
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R Output Date
Picostat Output - Cumulative Frequency Histogram Dec 30, 2022
Picostat Output - Bivariate Plot Dec 30, 2022
Picostat Output - Simple Linear Regression Dec 30, 2022
Picostat Output - Simple Linear Regression Dec 30, 2022
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