checkexperiment <- function(id,db="ecotox")
{
databases <- data.frame(
responsetype=c("viability","activity","response"),
testtype=c("celltype","enzyme","organism"),
exptype=c("plate","plate","experiment"))
rownames(databases) <- c("cytotox","enzymes","ecotox")
if (!(db %in% rownames(databases))) stop("Database does not exist")
library(RODBC)
channel <- odbcConnect(db,uid="cytotox",pwd="cytotox",case="tolower")
responsetype = as.character(databases[db,1])
testtype = as.character(databases[db,2])
exptype = as.character(databases[db,3])
expquery <- paste("SELECT experimentator,substance,",
testtype,",conc,unit,",responsetype,",performed,ok",
"FROM ",db," WHERE ",exptype,"=", id)
expdata <- sqlQuery(channel,expquery)
if (db %in% c("cytotox","enzymes")) {
controlquery <- paste("SELECT type,response FROM controls
WHERE plate=",id)
controldata <- sqlQuery(channel,controlquery)
}
odbcClose(channel)
if (db %in% c("cytotox","enzymes")) {
blinds <- subset(controldata,type=="blind")
controls <- subset(controldata,type=="control")
numberOfBlinds <- length(blinds$response)
meanOfBlinds <- signif(mean(blinds$response),2)
stdOfBlinds <- signif(sd(blinds$response),2)
} else {
controls <- subset(expdata,conc == 0)
expdata <- subset(expdata, conc != 0)
numberOfBlinds <- NA
meanOfBlinds <- NA
stdOfBlinds <- NA
}
numberOfControls <- length(controls$response)
if (numberOfControls > 0) {
meanOfControls <- signif(mean(controls$response),2)
stdOfControls <- signif(sd(controls$response),2)
percentstdOfcontrols <-signif(stdOfControls *100/meanOfControls,2)
} else {
meanOfControls <- stdOfControls <- percentstdOfcontrols <- NA
}
if (length(expdata$experimentator) < 1) {
stop("There is no response data for ",exptype," ",
id," in database ",db,"\n")
}
expdata$experimentator <- factor(expdata$experimentator)
expdata$type <- factor(expdata[[testtype]])
expdata$performed <- factor(as.character(expdata$performed))
expdata$substance <- factor(expdata$substance)
expdata$unit <- factor(expdata$unit)
expdata$ok <- factor(expdata$ok)
cat("\n",exptype," ",id," from database ",db,"\n",
"\tExperimentator(s): ",levels(expdata$experimentator),"\n",
"\tType(s): ",levels(expdata$type),"\n",
"\tPerformed on: ",levels(expdata$performed),"\n",
"\tSubstance(s): ",levels(expdata$substance),"\n",
"\tConcentration unit(s): ",levels(expdata$unit),"\n",
"\tOK: ",levels(expdata$ok),"\n",
"\t\tNumber \tMean \tStd. Dev. \t% Std. Dev.\n",
"\tblind\t",numberOfBlinds,"\t",meanOfBlinds,"\t",stdOfBlinds,"\n",
"\tcontrol\t",numberOfControls,"\t",meanOfControls,"\t",
stdOfControls,"\t\t",percentstdOfcontrols,"\n")
get(getOption("device"))(width=10,height=5)
par(mfcol=c(1,2))
if (db == "ecotox") {
boxplot(controls$response,
names="controls",
ylab="Response",
ylim=c(0,max(controls$response)),
boxwex=0.4,
main=paste("Plate ",id))
} else {
boxplot(blinds$response,controls$response,
names=c("blinds","controls"),
ylab="Response",
boxwex=0.4,
main=paste("Plate ",id))
}
drdata <- expdata[c(2,4,6)]
drdata$substance <- factor(drdata$substance)
substances <- levels(drdata$substance)
lld <- log10(min(subset(drdata,conc!=0)$conc))
lhd <- log10(max(drdata$conc))
plot(1,type="n",
xlim=c(lld - 0.5, lhd + 2),
ylim= c(-0.1, 2),
xlab=paste("decadic logarithm of the concentration in ",levels(expdata$unit)),
ylab=responsetype)
drdatalist <- split(drdata,drdata$substance)
for (i in 1:length(drdatalist)) {
points(log10(drdatalist[[i]]$conc),drdatalist[[i]][[responsetype]],col=i);
}
legend("topright",substances, pch=1, col=1:length(substances), inset=0.05)
title(main=paste(levels(expdata$experimentator),
" - ",levels(expdata$type)))
}
