Plots the results of the JackStraw analysis for PCA significance. For each PC, plots a QQ-plot comparing the distribution of p-values for all genes across each PC, compared with a uniform distribution. Also determines a p-value for the overall significance of each PC (see Details).

```
JackStrawPlot(object, PCs = 1:5, nCol = 3, score.thresh = 1e-05,
plot.x.lim = 0.1, plot.y.lim = 0.3)
```

object

Seurat plot

PCs

Which PCs to examine

nCol

Number of columns

score.thresh

Threshold to use for the proportion test of PC significance (see Details)

plot.x.lim

X-axis maximum on each QQ plot.

plot.y.lim

Y-axis maximum on each QQ plot.

A ggplot object

Significant PCs should show a p-value distribution (black curve) that is strongly skewed to the left compared to the null distribution (dashed line) The p-value for each PC is based on a proportion test comparing the number of genes with a p-value below a particular threshold (score.thresh), compared with the proportion of genes expected under a uniform distribution of p-values.

# NOT RUN { JackStrawPlot(object = pbmc_small) # }