R Dataset / Package datasets / Formaldehyde

How To Create a Barplot

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How To Create a Stacked Barplot

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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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Attachment Size
dataset-91017.csv 76 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 Formaldehyde data set which pertains to Determination of Formaldehyde. The Formaldehyde data set is found in the datasets R package. Try to load the Formaldehyde data set in R by issuing the following command at the console data("Formaldehyde"). This may load the data into a variable called Formaldehyde. If R says the Formaldehyde 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("Formaldehyde"). 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 Formaldehyde 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 Formaldehyde R data set. The size of this file is about 76 bytes.


Determination of Formaldehyde

Description

These data are from a chemical experiment to prepare a standard curve for the determination of formaldehyde by the addition of chromatropic acid and concentrated sulphuric acid and the reading of the resulting purple color on a spectrophotometer.

Usage

Formaldehyde

Format

A data frame with 6 observations on 2 variables.

[,1] carb numeric Carbohydrate (ml)
[,2] optden numeric Optical Density

Source

Bennett, N. A. and N. L. Franklin (1954) Statistical Analysis in Chemistry and the Chemical Industry. New York: Wiley.

References

McNeil, D. R. (1977) Interactive Data Analysis. New York: Wiley.

Examples

require(stats); require(graphics)
plot(optden ~ carb, data = Formaldehyde,
     xlab = "Carbohydrate (ml)", ylab = "Optical Density",
     main = "Formaldehyde data", col = 4, las = 1)
abline(fm1 <- lm(optden ~ carb, data = Formaldehyde))
summary(fm1)
opar <- par(mfrow = c(2, 2), oma = c(0, 0, 1.1, 0))
plot(fm1)
par(opar)

--

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