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.

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)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> library(datasets)
> png(filename="/home/ddbj/snapshot/RGM3/R_rel/result/datasets/Formaldehyde.Rd_%03d_medium.png", width=480, height=480)
> ### Name: Formaldehyde
> ### Title: Determination of Formaldehyde
> ### Aliases: Formaldehyde
> ### Keywords: datasets
> 
> ### ** 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)

Call:
lm(formula = optden ~ carb, data = Formaldehyde)

Residuals:
        1         2         3         4         5         6 
-0.006714  0.001029  0.002771  0.007143  0.007514 -0.011743 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept) 0.005086   0.007834   0.649    0.552    
carb        0.876286   0.013535  64.744 3.41e-07 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 0.008649 on 4 degrees of freedom
Multiple R-squared:  0.999,	Adjusted R-squared:  0.9988 
F-statistic:  4192 on 1 and 4 DF,  p-value: 3.409e-07

> opar <- par(mfrow = c(2, 2), oma = c(0, 0, 1.1, 0))
> plot(fm1)
> par(opar)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>