# call to globalVariables to prevent from generating NOTE: no visible binding for global variable <variable name>
# this hack is to satisfy CRAN (http://stackoverflow.com/questions/9439256/how-can-i-handle-r-cmd-check-no-visible-binding-for-global-variable-notes-when)
globalVariables(c("study_time_of_specimen_collection", "unit_of_study_time_of_specimen_collection",
"study_time_t0_event", "study_time_t0_event_specify"))
getHaiResults <- function(conn,study_id, measurement_type) {
cat("loading HAI Assay Results data....")
hai_cols <- c("study_id", "subject_id", "sequence",
"result_in_original_units", "original_units",
"experiment_title", "assay_purpose", "measurement_technique",
"experiment_sample_accession", "biosample_accession", "specimen_type", "specimen_subtype",
"visit_name", "visit_min_start_day", "visit_max_start_day", "visit_order",
"study_time_of_specimen_collection", "unit_of_study_time_of_specimen_collection",
"study_time_t0_event", "study_time_t0_event_specify",
"virus_strain")
tr_cols <- c("experiment_sample_accession",
"specimen_treatment",
"treatment_amount_value", "treatment_amount_unit",
"treatment_duration_value", "treatment_duration_unit",
"treatment_temperature_value", "treatment_temperature_unit")
sql_stmt <- paste("
SELECT distinct
hai.study_accession,
hai.subject_accession,
hai.result_id,
hai.value_reported,
'HA' as unit_reported,
ex.title,
ex.purpose,
ex.measurement_technique,
hai.expsample_accession,
bs.biosample_accession,
bs.type,
bs.subtype,
pv.visit_name,
pv.min_start_day,
pv.max_start_day,
pv.order_number,
bs.study_time_collected,
bs.study_time_collected_unit,
bs.study_time_t0_event,
bs.study_time_t0_event_specify,
hai.virus_strain
FROM
hai_result hai
INNER JOIN
experiment ex ON hai.experiment_accession=ex.experiment_accession
INNER JOIN
biosample bs ON hai.biosample_accession=bs.biosample_accession
INNER JOIN
planned_visit pv ON bs.planned_visit_accession=pv.planned_visit_accession
WHERE hai.study_accession in (\'", study_id,"\')
ORDER BY hai.subject_accession",sep="")
hai_df <- dbGetQuery(conn,statement=sql_stmt)
if (nrow(hai_df) > 0) {
colnames(hai_df) <- hai_cols
hai_df$elapsed_time_of_specimen_collection = mapply(covertElaspsedTimeToISO8601Format, hai_df$study_time_of_specimen_collection,
hai_df$unit_of_study_time_of_specimen_collection)
hai_df$time_point_reference = mapply(getTimePointReference, hai_df$study_time_t0_event,
hai_df$study_time_t0_event_specify)
sql_stmt <- paste("
SELECT distinct
hai.expsample_accession,
tr.name,
tr.amount_value,
tr.amount_unit,
tr.duration_value,
tr.duration_unit,
tr.temperature_value,
tr.temperature_unit
FROM
hai_result hai
INNER JOIN
expsample_2_treatment es2tr ON hai.expsample_accession=es2tr.expsample_accession
INNER JOIN
treatment tr ON es2tr.treatment_accession=tr.treatment_accession
WHERE
hai.study_accession in (\'", study_id,"\')",sep="")
tr_df <- dbGetQuery(conn,statement=sql_stmt)
colnames(tr_df) <- tr_cols
if (nrow(tr_df) >0) {
#tr_df <- aggregate(. ~ experiment_sample_accession,paste,collapse="||",data=tr_df)
tr_df <- setDF(setDT(tr_df)[, lapply(.SD, paste, collapse="||"), by="experiment_sample_accession"])
hai_df <- merge(hai_df ,tr_df, by="experiment_sample_accession", all.x = TRUE)
} else {
hai_df["specimen_treatment"] = ""
hai_df["treatment_amount_value"] = ""
hai_df["treatment_amount_unit"] = ""
hai_df["treatment_duration_value"] = ""
hai_df["treatment_duration_unit"] = ""
hai_df["treatment_temperature_value"] = ""
hai_df["treatment_temperature_unit"] = ""
}
# hai_df <- transform(hai_df, sequence = as.integer(sequence))
# setDT(hai_df)[, `:=`(sequence, seq_len(.N)), by = "subject_id"]
setDT(hai_df)
hai_df <- setDF(setorder(hai_df, "subject_id"))
# hai_df <- ddply(hai_df, .(study_id, subject_id, result_id), mutate, elapsed_time_of_specimen_collection =
# covertElaspsedTimeToISO8601Format(study_time_of_specimen_collection,
# unit_of_study_time_of_specimen_collection))
#
# hai_df <- ddply(hai_df, .(study_id, subject_id, sequence), mutate, time_point_reference =
# getTimePointReference(study_time_t0_event, study_time_t0_event_specify))
}
cat("done", "\n")
hai_df
}
getCountOfHaiResults <- function(conn,study_id) {
sql_stmt <- paste("
SELECT count(*)
FROM
hai_result hai
INNER JOIN
experiment ex ON hai.experiment_accession=ex.experiment_accession
INNER JOIN
biosample bs ON hai.biosample_accession=bs.biosample_accession
WHERE hai.study_accession in (\'", study_id,"\')", sep="")
count <- dbGetQuery(conn,statement=sql_stmt)
count[1,1]
}
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