Nothing
library(spant) library(ggplot2) knitr::opts_chunk$set(echo = FALSE) theme_set(theme_bw())
ggplot(params$data$summary, aes(x = shift_hz_range, y = labels)) + geom_col() + ylab("") + xlab("Shift range (Hz)") + scale_y_discrete(limits = rev)
ggplot(params$data$summary, aes(x = lw_ppm_smo_range, y = labels)) + geom_col() + ylab("") + xlab("Smoothed linewidth range (ppm)") + scale_y_discrete(limits = rev)
ggplot(params$data$summary, aes(x = ss_median_spec_snr, y = labels)) + geom_col() + ylab("") + xlab("Median single shot SNR") + scale_y_discrete(limits = rev)
ggplot(params$data$summary, aes(x = mean_corr_spec_lw, y = labels)) + geom_col() + ylab("") + xlab("Linewidth for mean corrected data (ppm)") + scale_y_discrete(limits = rev)
ggplot(params$data$summary, aes(x = dlfr * 100, y = labels)) + geom_col() + ylab("") + xlab("Dynamic lipid fluctuation range (% tCr intensity)") + scale_y_discrete(limits = rev)
ggplot(params$data$summary, aes(x = dfr * 100, y = labels)) + geom_col() + ylab("") + xlab("Dynamic fluctuation range (% tCr intensity)") + scale_y_discrete(limits = rev)
Dataset mean single shot SNR : r round(mean(params$data$summary$ss_median_spec_snr), 1)
Dataset standard deviation single shot SNR : r round(sd(params$data$summary$ss_median_spec_snr), 1)
Dataset mean spectral linewidth : r round(mean(params$data$summary$mean_corr_spec_lw), 3)
Dataset standard deviation spectral linewidth : r round(sd(params$data$summary$mean_corr_spec_lw), 3)
if (!is.null(params$data$exclude_labels)) { cat("### Excluded scan labels\n") for (x in params$data$exclude_labels) cat("- ", x, "\n") }
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