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 (
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.
model and calculate x
values from y values.
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The x coordinates of the points.
The y coordinates of the points.
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
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# 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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