## ----setup, include=FALSE------------------------------------------------
knitr::opts_chunk$set(echo = FALSE)
library(eidith)
library(dplyr)
## ----false-setup, echo = TRUE, eval = FALSE------------------------------
# library(eidith)
# library(dplyr)
## ----example, echo = TRUE, eval = FALSE----------------------------------
# ed_tests_report(status = c("Under Sequence Review", "Active testing ongoing"))
## ----report, echo = TRUE, eval = FALSE-----------------------------------
# report <- ed_tests_report()
## ----report2, echo = TRUE, eval = FALSE----------------------------------
# ed_fasta(report, "report.fasta")
## ----subset, echo = TRUE, eval = FALSE-----------------------------------
# report <- ed_tests_report()
# entero_report <- filter(report, test_rq == "Enteroviruses")
#
## ----subset-entero, echo = TRUE, eval = FALSE----------------------------
# ed_fasta(entero_report, "entero.fasta")
## ----subset-prot, echo = TRUE, eval = FALSE------------------------------
# report <- ed_tests_report()
# johne_report <- filter(report, meth == "Johne, VP1 gene")
## ----fake-virus, echo = TRUE, eval = FALSE-------------------------------
# ed_fasta_group(report, grouping = "virus")
#
## ----fake-protocol, echo = TRUE, eval = FALSE----------------------------
# ed_fasta_group(report, grouping = "method")
## ----fake-both, echo = TRUE, eval = FALSE--------------------------------
# ed_fasta_group(report, grouping = "both")
## ----excel1, echo = TRUE, eval = FALSE-----------------------------------
# report <- ed_tests_report()
# ed_report_excel(report, "report.csv")
## ----excel2, echo = TRUE, eval = FALSE-----------------------------------
# ed_report_excel(entero_report, "entero_report.csv")
# ed_report_excel(johne_report, "johne_report.csv")
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