Description Usage Arguments Value See Also Examples
Use these functions to calculate a linear model from data, plot the model and use it to calculate x-values from the model data and y-values (inverse function).
Those function are intended to be used in set_calc_concentrations /
sets_read to be applied to the calibrators (fit_linear
) and interpolate
concentrations from the raw values (interpolate_linear
). Use plot_linear
to visually inspect goodness of fit.
fit_linear
: Calculate a linear model from x and y.
plot_linear
: Draw the plot for the model that can be calculated with
fit_linear
. Uses ggplot2::ggplot if available.
interpolate_linear
: Inverse fit_linear
using model
and calculate x
values from y values.
1 2 3 4 5 | fit_linear(x, y)
plot_linear(x, y)
interpolate_linear(y, model)
|
x |
The x coordinates of the points. |
y |
The y coordinates of the points. |
model |
The line model. |
fit_linear
: The line model.
plot_linear
: The plot.
interpolate_linear
: The calculated x values.
set_calc_concentrations, sets_read, models_lnln
1 2 3 4 5 6 7 8 9 10 11 12 13 | # generate data
x <- c(1, 3, 4, 7)
y_known <- c(3.5, 6.5, 8, 12.5) # x is known for these values
y_unknown <- c(5, 9.5, 11) # we will calculate x for those
model <- fit_linear(x = x, y = y_known)
model
plot_linear(x = x, y = y_known)
interpolate_linear(y = y_unknown, model)
rm(x, y_known, y_unknown, model)
|
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