Figure 2.
Three experiments testing our assumptions and sensitivity to bimodal bead distributions. For each experiment, the top row are mean values over the entire range of the experimental setups. The mean values for spillR are computed on values not marked as NA, so the mean ignores the counts attributed to spillover. The bottom row are density plots for three parameter settings to illustrate the generated distributions. Y is the distribution with spillover. Y|Z=1 is the distribution without spillover. Y|Z=2 is the spillover. mean(Y) is the average of the distribution with spillover. mean(Y|Z=1) is the average count without spillover. spillR mean(Y) is the average count after correcting Y

Three experiments testing our assumptions and sensitivity to bimodal bead distributions. For each experiment, the top row are mean values over the entire range of the experimental setups. The mean values for spillR are computed on values not marked as NA, so the mean ignores the counts attributed to spillover. The bottom row are density plots for three parameter settings to illustrate the generated distributions. Y is the distribution with spillover. Y|Z=1 is the distribution without spillover. Y|Z=2 is the spillover. mean(Y) is the average of the distribution with spillover. mean(Y|Z=1) is the average count without spillover. spillR mean(Y) is the average count after correcting Y

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