plot.NMRFit1D: Plot NMRFit1D object
In ssokolen/rnmrfit: Robust NMR Lineshape Fitting in the Frequency Domain

Description Usage Arguments Details Value

Generates an interactive plot object using the plotly package.

plot.NMRFit1D(x, components = "r", apply.phase = TRUE,
  sum.lineshapes = TRUE, sum.baseline = TRUE,
  include.convolution = TRUE, deconvolve.residual = FALSE, nrows = 2,
  legend.position = "bottom", fit.legend = NULL, reverse = TRUE)

`x`	An NMRFit1D object.
`components`	One of either 'r', 'i', or 'r/i' to include real, imaginary or both components. If both components are selected, they are displayed in separate subplots.
`apply.phase`	TRUE to apply the calculated phase to the data.
`sum.lineshapes`	TRUE to sum together individual peaks.
`sum.baseline`	TRUE to add the baseline to each fit.
`include.convolution`	TRUE to apply convolution to the fit, if available.
`deconvolve.residual`	TRUE to remove the effect of convolution from the residual, if convolution is not being included in the fit.
`nrows`	Max number of rows to display subplots.
`legend.position`	One of either 'bottom' or 'side'.
`fit.legend`	By default, the fit is shown on the legend if sum.lineshapes is TRUE and omitted if sum.lineshapes is FALSE. Set fit.legend to TRUE or FALSE to override this behaviour.
`reverse`	TRUE to order x-axis with large values on the left and small values on the right like typical NMR plots.

Convenience function that generates a graphical representation of the fit. The original data is plotted as a black line, the fit is plotted in red, the baseline is plotted in blue, the residual in red. The fit can be plotted as a composite of all the peaks, or individually.

A ggplot2 plot.

ssokolen/rnmrfit documentation built on May 23, 2019, 1:48 p.m.