View source: R/vis_identifier.R
vis_identifier_cor | R Documentation |
NOTE: the dataset must be dense matrix in UCSC Xena data hubs.
vis_identifier_cor( dataset1, id1, dataset2, id2, samples = NULL, use_ggstats = FALSE, use_simple_axis_label = TRUE, line_color = "blue", alpha = 0.5, ... )
dataset1 |
the dataset to obtain |
id1 |
the first molecule identifier. |
dataset2 |
the dataset to obtain |
id2 |
the second molecule identifier. |
samples |
default is |
use_ggstats |
if |
use_simple_axis_label |
if |
line_color |
set the color for regression line. |
alpha |
set the alpha for dots. |
... |
other parameters passing to ggscatter. |
a (gg)plot object.
## Not run: dataset <- "TcgaTargetGtex_rsem_isoform_tpm" id1 <- "TP53" id2 <- "KRAS" vis_identifier_cor(dataset, id1, dataset, id2) samples <- c( "TCGA-D5-5538-01", "TCGA-VM-A8C8-01", "TCGA-ZN-A9VQ-01", "TCGA-EE-A17X-06", "TCGA-05-4420-01" ) vis_identifier_cor(dataset, id1, dataset, id2, samples) dataset1 <- "TCGA-BLCA.htseq_counts.tsv" dataset2 <- "TCGA-BLCA.gistic.tsv" id1 <- "TP53" id2 <- "KRAS" vis_identifier_cor(dataset1, id1, dataset2, id2) ## End(Not run)
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