| plot_sample_cvheatmap | R Documentation | 
An experiment to see if I can visualize the genes with the highest variance.
plot_sample_cvheatmap(
  expt,
  fun = "mean",
  fact = "condition",
  row_label = NA,
  plot_title = NULL,
  Rowv = TRUE,
  Colv = TRUE,
  label_chars = 10,
  dendrogram = "column",
  min_delta = 0.5,
  x_factor = 1,
  y_factor = 2,
  min_cvsd = NULL,
  cv_min = 1,
  cv_max = Inf,
  remove_equal = TRUE
)
| expt | ExpressionSet | 
| fun | mean or median | 
| fact | Which factor to slice/dice the data? | 
| row_label | Label the rows? | 
| plot_title | Title for the plot | 
| Rowv | Row vs (yeah I forgot what this does.) | 
| Colv | Col vs | 
| label_chars | Maximum number of characters in the sample IDs. | 
| dendrogram | Make a tree of the samples? | 
| min_delta | Minimum delta value for filtering | 
| x_factor | When plotting two factors against each other, which is x? | 
| y_factor | When plotting two factors against each other, which is y? | 
| min_cvsd | Include only those with a minimal CV? | 
| cv_min | Minimum cv to examine (I think this should be slightly lower) | 
| cv_max | Maximum cV to examine (I think this should be limited to ~ 0.7?) | 
| remove_equal | Filter uninteresting genes. | 
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