R Dataset / Package gap / l51

How To Create a Barplot

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Category
Visual
Instructional

How To Create a Stacked Barplot

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Category
Visual
Instructional

How To Create a Pie Chart

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Category
Instructional
Visual

How To Compute the Mean

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Category
Numerical
Instructional

How To Create a Plot

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Category
Visual
Instructional

How to Compute the Median

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Category
Instructional
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

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

Submitted by pmagunia on April 22, 2018 - 3:10 PM
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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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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-gap-l51.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-55916.csv 966 bytes
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 l51 data set which pertains to An example pedigree data. The l51 data set is found in the gap R package. You can load the l51 data set in R by issuing the following command at the console data("l51"). This will load the data into a variable called l51. If R says the l51 data set is not found, you can try installing the package by issuing this command install.packages("gap") 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 l51 R data set. The size of this file is about 966 bytes.


An example pedigree data

Description

The data contains data on 51 individuals in a pedigree. Below it is used for comparing results from various packages.

Usage

data(l51)

Format

A data frame

Source

Morgan v3.

References

Morgan v3. http://www.stat.washington.edu/thompson/Genepi/MORGAN/Morgan.shtml

Examples

## Not run: 
km <- kin.morgan(l51)
k2 <- km$kin.matrix*2# quantitative trait
library(regress)
r <- regress(qt ~ 1, ~k2, data=l51)
names(r)
r
# qualitative trait
N <- dim(l51)[1]
w <- with(l51,quantile(qt,probs=0.75,na.rm=TRUE))
ped51 <- within(l51, bt <- ifelse(qt<=w,0,1))
d <- regress(bt ~ 1, ~k2, data=ped51)
d
# for other tests not shown here
set.seed(12345)
ped51 <- within(ped51,{r <- rnorm(N); bt[is.na(bt)] <- 0})
library(foreign)
write.dta(ped51,"ped51.dta")## End(Not run)

--

Dataset imported from https://www.r-project.org.
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    • Dotplot
    • Hollow Histogram - Plot two columns on the same histogram with a different color for each column.
    • Pie Chart
    • Regression - Perform a simple linear regression and compute the p-value and regression line. Also plots the data with the regression line.
    • 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:
      1. Frequency Histogram
      2. Relative Frequency Histogram
      3. Cumulative Frequency Histogram
      4. Boxplot (Box-and-whisker plot)
      5. Dotplot
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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
    • How To Create a Plot - This app will show you how to plot two columns in the cartesian coordinate system.
    • 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 - Dotplot Apr 7, 2020
Picostat Output - Dotplot Apr 7, 2020
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