1d:T6f1,# Plot an histogram of the number of time-trajectories with a given number of time-points Histogram of the number of time-trajectories with a minimum number of time-points. When the number of time-points is inferior to the **df** selected, a spline cannot be fitted. The histogram highlights the number and percentage of time-trajectories that will be rejected for a given **df**. ```r plot_nbTP_histogram(eigen, dfCutOff = NA) ``` ## Arguments - `eigen`: A list of eigenSpline parameters as generated by `get_eigen_spline`, containing `eigen$matrix`, `eigen$variance`, `eigen$model` and `eigen$countTP`. - `dfCutOff`: (int) A number (a selected **df**) to highlight the portion of trajectories that would be rejected form the dataset (numberTP < **df**). Default is NA, with no cut-off plotted. ## Returns A ggplot2 plotObject. ## Examples ```r ## 8 subjects, 4 time-points, 3 variables, some missing values inputData <- acuteInflammation$data[0:32,1:3] inputData <- inputData[-1,] inputData <- inputData[-8,] inputData <- inputData[-30,] inputData <- inputData[-29,] ind <- acuteInflammation$meta$ind[0:32] ind <- ind[-1] ind <- ind[-8] ind <- ind[-30] ind <- ind[-29] time <- acuteInflammation$meta$time[0:32] time <- time[-1] time <- time[-8] time <- time[-30] time <- time[-29] eigen <- get_eigen_spline(inputData, ind, time, nPC=NA, scaling="scaling_UV", method="nipals", verbose=TRUE, centering=TRUE, ncores=0) plot_nbTP_histogram(eigen, dfCutOff=3) ``` ## See Also Graphical implementation with `santaR_start_GUI` Other DFsearch: `get_eigen_DF()`, `get_eigen_DFoverlay_list()`, `get_eigen_spline()`, `get_param_evolution()`, `plot_param_evolution()`1e:T49a,M7.49933 0.25C3.49635 0.25 0.25 3.49593 0.25 7.50024C0.25 10.703 2.32715 13.4206 5.2081 14.3797C5.57084 14.446 5.70302 14.2222 5.70302 14.0299C5.70302 13.8576 5.69679 13.4019 5.69323 12.797C3.67661 13.235 3.25112 11.825 3.25112 11.825C2.92132 10.9874 2.44

plot_nbTP_histogram function