Nothing
## ---- echo=FALSE, results="hide", message=FALSE-------------------------------
knitr::opts_chunk$set(error=FALSE, message=FALSE, warning=FALSE)
library(BiocStyle)
library(vcr)
library(magmaR)
TOKEN <- magmaR:::.get_sysenv_or_mock("TOKEN")
URL <- magmaRset("")$url
vcr_configure(
filter_sensitive_data = list("<<<my_token>>>" = TOKEN),
dir = "../tests/fixtures"
)
insert_cassette(name = "Download-vignette")
## ---- eval = FALSE------------------------------------------------------------
# # Installation options (Choose one. CRAN method is recommended for most users.)
#
# ## 1. Most recent release version via CRAN
# install.packages("magmaR")
#
# ## 2. Development version via GitHub
# remotes::install_github("mountetna/monoetna", subdir = "etna/packages/magmaR")
#
# # Check installation and load the package
# library(magmaR)
#
# # Set up your authorization token and where to find magma
# magma <- magmaRset()
# ## Note: run as above, you will be prompted in the console to provide your token.
# ## This token can be obtained from Janus.
#
# # Now, you're ready to retrieve some data!
# retrieve(
# target = magma,
# projectName = "example",
# modelName = "subject"
# )
## ---- eval = FALSE------------------------------------------------------------
# install.packages("magmaR")
## ---- eval = FALSE------------------------------------------------------------
# if (!requireNamespace("remotes", quietly = TRUE))
# install.packages("remotes")
# remotes::install_github("mountetna/monoetna", subdir = "etna/packages/magmaR")
## -----------------------------------------------------------------------------
library(magmaR)
## ---- hide = TRUE, echo=FALSE-------------------------------------------------
prod <- magmaRset(token = TOKEN, url = URL)
## ---- eval = FALSE------------------------------------------------------------
# # Method1: User will be prompted to give their token in the R console
# prod <- magmaRset()
#
# ids_subject <- retrieveProjects(
# # Now, we give the output of magmaRset() to the 'target' input of any
# # other magmaR function.
# target = prod)
## ---- eval = FALSE------------------------------------------------------------
# prod <- magmaRset(token = "<your-token-here>")
#
# ids_subject <- retrieveProjects(
# # Now, we give the output of magmaRset() to the 'target' input of any
# # other magmaR function.
# target = prod)
## ---- eval = FALSE------------------------------------------------------------
# dev <- magmaRset(url = "http://magma.development.local")
#
# # When calling to magma...
# ids_subject <- retrieveIds(
# # Now give this to 'target':
# target = dev,
# # ^^
# projectName = "example",
# modelName = "subject",
# url.base = "http://magma.development.local")
## -----------------------------------------------------------------------------
# projectName options:
retrieveProjects(
target = prod)
# modelName options:
retrieveModels(
target = prod,
projectName = "example")
# recordNames options:
retrieveIds(
target = prod,
projectName = "example",
modelName = "subject")
# attributeName(s) options:
retrieveAttributes(
target = prod,
projectName = "example",
modelName = "subject")
## -----------------------------------------------------------------------------
# To retrieve the project template:
temp <- retrieveTemplate(
target = prod,
projectName = "example")
## -----------------------------------------------------------------------------
str(temp, max.level = 3)
## -----------------------------------------------------------------------------
# For the "subject" model:
str(temp$models$subject$template)
## -----------------------------------------------------------------------------
df <- retrieve(
target = prod,
projectName = "example",
modelName = "subject")
head(df)
## -----------------------------------------------------------------------------
df <- retrieve(
target = prod,
projectName = "example",
modelName = "subject",
recordNames = c("EXAMPLE-HS1", "EXAMPLE-HS2"),
attributeNames = "group")
head(df)
## ----retJSON------------------------------------------------------------------
json <- retrieveJSON(
target = prod,
projectName = "example",
modelName = "rna_seq",
recordNames = c("EXAMPLE-HS1-WB1-RSQ1", "EXAMPLE-HS2-WB1-RSQ1"),
attributeNames = "gene_counts")
## ----matrix-------------------------------------------------------------------
mat <- retrieveMatrix(
target = prod,
projectName = "example",
modelName = "rna_seq",
recordNames = "all",
attributeNames = "gene_tpm")
head(mat, n = c(6,3))
## ----query--------------------------------------------------------------------
query_out <- query(
target = prod,
projectName = "example",
queryTerms =
list('rna_seq',
'::all',
'biospecimen',
'::identifier')
)
## -----------------------------------------------------------------------------
names(query_out)
## ----query2-------------------------------------------------------------------
subject_ids_of_rnaseq_records <- query(
target = prod,
projectName = "example",
queryTerms =
list('rna_seq',
'::all',
'biospecimen',
'::identifier'),
format = "df"
)
head(subject_ids_of_rnaseq_records)
## ----meta---------------------------------------------------------------------
meta <- retrieveMetadata(
target = prod,
projectName = "example",
meta_modelName = "subject",
meta_attributeNames = "all",
target_modelName = "rna_seq",
target_recordNames = "all")
head(meta, n = c(6,10))
## ---- eval=TRUE, include=FALSE------------------------------------------------
ditto_available <- requireNamespace("dittoSeq")
## ---- eval = ditto_available--------------------------------------------------
library(dittoSeq)
# Explore RNAseq data with dittoSeq
sce <- importDittoBulk(
list(tpm = mat), # mat was obtained with retrieveMatrix()
metadata = meta # meta was obtained with retrieveMetadata()
)
dittoBoxPlot(sce, "gene1", group.by = "group")
## ---- include = FALSE---------------------------------------------------------
eject_cassette()
## -----------------------------------------------------------------------------
sessionInfo()
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