Description Usage Arguments Value See Also Examples
View source: R/plot_survival.R
Patients are split into two groups based on their immune cell abundance (median aundance value) and a regular survival analyis is carried out. Raw values can be obtained from imsig_survival
.
1 | plot_survival(exp, cli, time = "time", status = "status", r = 0.6)
|
exp |
Dataframe of transcriptomic data (natural scale) containing genes as rows and samples as columns. Note: Gene names should be set as row names and duplicates are not allowed. Missing values are not allowed within the expression matrix. Check example- head(example_data): |
cli |
Clinical metadata containting the event data (dead or alive) and time to event data. Samples names should be in rownames and same as that in the expression file. Check head() of |
time |
Column name of time-to-event parameter. |
status |
Column name of event (dead or alive) parameter. |
r |
Use a value between 0 and 1. Default is 0.6. This is a user defined correlation cut-off to perform feature selection ( |
Forest plot
feature_select
, example_data
, example_cli
1 | plot_survival (exp = example_data, r = 0.7, cli = example_cli, time = 'time', status= 'status')
|
Warning messages:
1: Use of `surv_data$`Log2-Hazard ratio of low expression`` is discouraged. Use `Log2-Hazard ratio of low expression` instead.
2: Use of `surv_data$`95% CI lower limit`` is discouraged. Use `95% CI lower limit` instead.
3: Use of `surv_data$`95% CI upper limit`` is discouraged. Use `95% CI upper limit` instead.
4: Use of `surv_data$p` is discouraged. Use `p` instead.
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