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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