View source: R/plot_proteomics.R
plot_pyprophet_xy | R Documentation |
Then plot the result, hopefully adding some new insights into the state of the post-pyprophet results. By default, this puts the number of identifications (number of rows) on the x-axis for each sample, and the sum of intensities on the y. Currently missing is the ability to change this from sum to mean/median/etc. That should trivially be possible via the addition of arguments for the various functions of interest.
plot_pyprophet_xy(
pyprophet_data,
keep_real = TRUE,
size = 6,
label_size = 4,
keep_decoys = TRUE,
expt_names = NULL,
label_chars = 10,
x_type = "count",
y_type = "intensity",
plot_title = NULL,
scale = NULL,
...
)
pyprophet_data |
List of pyprophet matrices by sample. |
keep_real |
Use the real identifications (as opposed to the decoys)? |
size |
Size of the glyphs used in the plot. |
label_size |
Set the label sizes. |
keep_decoys |
Use the decoy identifications (vs. the real)? |
expt_names |
Manually change the labels to some other column than sample. |
label_chars |
Maximum number of characters in the label before shortening. |
x_type |
Column in the data to put on the x-axis. |
y_type |
Column in the data to put on the y-axis. |
plot_title |
Plot title. |
scale |
Put the data onto the log scale? |
... |
Extra arguments passed along. |
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