❯ checking R code for possible problems ... [11s/10s] NOTE
.filter_transciptome: no visible binding for global variable
'tempus_ensembl_id'
.filter_transciptome: no visible binding for global variable
'gene_symbol'
.tbl_cnv: no visible binding for global variable 'n_reads'
.tbl_cnv: no visible global function definition for 'STRING_AGG'
.tbl_diagnosis: no visible global function definition for 'date_diff'
.tbl_diagnosis_dates: no visible binding for global variable
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Write a R package vignette for a package called "Tempustables" that has the following functions with descriptions and examples as given below. The vignette needs to be fairly easy for users to follow. Provide examples and description for each function. | |
Collect Normalized RNA by Cohort | |
Description: | |
Collecting the whole transcriptome for over 100 samples from | |
'normalized_rna' in your R session will typically fail, requiring | |
you to write some sort of a loop to get all the patients. This | |
function does all that work for you and runs the query in | |
parallel. |
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diff --cc R/tbl_patient_record.R | |
index 43600b0,b236cb4..0000000 | |
--- a/R/tbl_patient_record.R | |
+++ b/R/tbl_patient_record.R | |
@@@ -1,132 -1,154 +1,198 @@@ | |
-#' Table of patient records with a curated diagnosis | |
+#' Return a Table of Patient Records with a Curated Diagnosis | |
#' | |
-#' Returns relevant metadata regarding the patient records and the | |
-#' depth of associated data for each record. Excludes records that are |
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tbl_patient_record.R | |
44: tbl("patient") |> | |
61: tbl("molecular_inventory") |> | |
70: tbl("combined_diagnosis") |> | |
83: tbl("medications_enhanced") |> | |
tbl_sample_therapy.R | |
57: tbl("onco_care_plan") |> | |
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library(readr) | |
library(dplyr) | |
cmd <- 'gcloud compute instances list --filter="tn-pytorch" --format="table(name, status, labels.created_by.list(), labels.image.list())" > tsci_gcloud.csv' | |
system(cmd) | |
dat <- read_table('tsci_gcloud.csv') | |
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setGeneric("cloud_cp", function(x, ...) standardGeneric("cloud_cp")) | |
cloud_rm <- function(x, ...) | |
UseMethod("cloud_rm") | |
cloud_rsync <- function(x, ...) | |
UseMethod("cloud_rsync") | |
## azure | |
setClass("Cloud") | |
AzureCloud <- setClass("AzureCloud", contains = "Cloud") | |
setMethod("cloud_cp", "AzureCloud", function(x, from, to, ...) { | |
## implement cp for Azure |
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> AnVIL:::repository_stats() | |
Container: bioconductor_docker | |
Bioconductor version: 3.15 | |
Bioconductor binary repos: | |
https://bioconductor.org/packages/3.15/container-binaries/bioconductor_docker | |
PACKAGES timestamp: 2022-05-31 13:51:00 UTC | |
Query timestamp: 2022-06-07 13:25 UTC | |
Bioconductor software packages: 2120 | |
Binary packages: 3692 | |
Binary software packages: 2100 |
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git pull origin master | |
git pull upstream master | |
## Make sure devel does not already exist | |
git branch -d devel | |
## Create and push the devel branch | |
git checkout -b devel | |
git push origin devel |
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