OpasnetUtils/Interpret
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Description
Interpret takes a vector or data.frame as argument. And returns a data.frame with certain textual inputs interpreted as probability distributions.
Example | Regular expression | Interpretation |
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12 000 | # # | 12000. Text is interpreted as number if space removal makes it a number. |
-14,23 | -# | -14.23. Minus in the beginning of entry is interpreted as minus, not a sign for a range. |
50 - 125 | # - # | Uniform distribution between 50 and 125 |
-12 345 - -23.56 | -# - -# | Uniform distribution between -12345 and -23.56. |
1 - 50 | # - # | Loguniform distribution between 1 and 50 (Loguniformity is assumed if the ratio of upper to lower is > 100) |
3.1 ± 1.2 or 3.1 +- 1.2 | # ± # or # +- # | Normal distribution with mean 3.1 and SD 1.2 |
2.4 (1.8 - 3.0) | # (# - #) | Normal distribution with mean 2.4 and 95 % confidence interval from 1.8 to 3.0 |
2.4 (2.0 - 3.2) | # (# - #) | Lognormal distribution with mean 2.4 and 95 % confidence interval from 2.0 to 3.0. Lognormality is assumed if the difference from mean to upper limit is => 50 % greater than from mean to lower limit. |
0:0.5:1 | #:#:# | Triangular distribution. Inputs are always sorted so order of arguments doesn't matter. |
Code
# Lognormal distribution parametrization functions lmean <- function(parmean, parsd) {return(log(parmean)-log(1+(parsd^2)/(parmean^2))/2)} lsd <- function(parmean, parsd) {return(log(1+(parsd^2)/(parmean^2)))} # Actual interpretation function. Takes already pre-processed information and returns a distribution. interpf <- function( n, res.char, brackets.pos, brackets.length, minus, minus.length, minus.exists, plusminus, plusminus.length, plusminus.exists, doublePoint ) { if(doublePoint[1] > 0) { tempArgs <- sort(as.numeric(unlist(strsplit(res.char, "\\:")))) return(rtriangle(n,tempArgs[1],tempArgs[3],tempArgs[2])) } if(brackets.pos >= 0) { minus.relevant <- unlist(minus)[(cumsum(c(0, minus.length)) + 1):cumsum(minus.length)] n.minus.inside.brackets <- sum(minus.relevant > brackets.pos & minus.relevant < brackets.pos + brackets.length) imean <- as.numeric(substr(res.char, 1, brackets.pos - 1)) if(n.minus.inside.brackets == 1) { ici <- c(as.numeric(substr(res.char, brackets.pos + 1, minus.relevant[minus.relevant > brackets.pos] - 1)), as.numeric(substr(res.char, minus.relevant[minus.relevant > brackets.pos] + 1, brackets.pos + brackets.length - 2))) isd <- sum(abs(ici - imean) / 2) / qnorm(0.975) if((ici[2] - imean) / (ici[1] - imean) < 1.5) { return(rnorm(n, imean, isd)) } else { return(out[[i]] <- rlnorm(n, lmean(imean, isd), lsd(imean, isd))) # menee vaarin koska isd on laskettu normaalijakaumalle } } else if(n.minus.inside.brackets %in% c(2,3)) { ici <- c(as.numeric(substr(res.char, brackets.pos + 1, minus.relevant[minus.relevant > brackets.pos][2] - 1)), as.numeric(substr(res.char, minus.relevant[minus.relevant > brackets.pos][2] + 1, brackets.pos + brackets.length - 2))) isd <- sum(abs(ici - imean) / 2) / qnorm(0.975) return(rnorm(n, imean, isd)) } warning(paste("Unable to interpret \"", res.char, "\"", sep = "")) return(NA) } if(minus.exists) { minus.relevant <- unlist(minus)[(cumsum(c(0, minus.length)) + 1):cumsum(minus.length)] if(length(minus.relevant) == 1) { if(as.numeric(substr(res.char, 1, minus.relevant - 1)) / as.numeric(substr(res.char, minus.relevant + 1, nchar(res.char))) >= 1/100) { return(runif(n, as.numeric(substr(res.char, 1, minus.relevant - 1)), as.numeric(substr(res.char, minus.relevant + 1, nchar(res.char[i]))))) } else { return(exp(runif(n, log(as.numeric(substr(res.char, 1, minus.relevant - 1))), log(as.numeric(substr(res.char, minus.relevant + 1, nchar(res.char))))))) } } if(length(minus.relevant) %in% c(2,3)) { return(runif(n, as.numeric(substr(res.char, 1, minus.relevant[2] - 1)), as.numeric(substr(res.char, minus.relevant[2] + 1, nchar(res.char))))) } } if(plusminus.exists) { return(rnorm(n, as.numeric(substr(res.char, 1, plusminus[1] - 1)), as.numeric(substr(res.char, plusminus[1] + 1, nchar(res.char))))) } if(sum(unlist(strsplit(res.char, ""))==";") > 0) { return(sample(sapply(strsplit(res.char, ";"), as.numeric), N, replace = TRUE)) } warning(paste("Unable to interpret \"", res.char, "\"", sep = "")) return(NA) } # The next function processes character strings and loops the interpretation function. input.interp <- function(res.char, n = 1000) { res.char <- gsub(" ", "", res.char) res.char <- gsub(",", ".", res.char) plusminus <- gregexpr(paste("\\+-|", rawToChar(as.raw(177)), sep = ""), res.char) # saattaa osoittautua ongelmaksi enkoodauksen vuoksi plusminus.length <- sapply(plusminus, length) plusminus.exists <- unlist(plusminus)[cumsum(c(0, plusminus.length[-length(plusminus.length)])) + 1] > 0 minus <- gregexpr("-", res.char) minus.length <- sapply(minus, length) minus.exists <- unlist(minus)[cumsum(c(0, minus.length[-length(minus.length)])) + 1] > 0 brackets <- gregexpr("\\(.*\\)", res.char) # matches for brackets "(...)" brackets.length <- as.numeric(unlist(sapply(brackets, attributes)[1,])) brackets.pos <- unlist(brackets) doublePoint <- gregexpr(":", res.char) out <- list() for(i in 1:length(res.char)) { out[[i]] <- interpf(n, res.char[i], brackets.pos[i], brackets.length[i], minus[i], minus.length[i], minus.exists[i], plusminus[[i]], plusminus.length[i], plusminus.exists[i],doublePoint[[i]]) } out } # Assisting function for data.frame wrapper. iter.f <- function(x) { 1:x } # Data.frame wrapper for the functions. interpret <- function(idata, rescol = "Result", N = 1000) { temp <- input.interp(idata[, rescol], N) temp.lengths <- sapply(temp, length) out <- idata[rep(1:nrow(idata), times = temp.lengths),] out$Interp.Result <- unlist(temp) dim(temp.lengths) <- length(temp.lengths) out$Iter<- c(apply(temp.lengths, 1, iter.f)) out } setGeneric("interpret") setMethod( f = "interpret", signature = signature(idata = "character"), definition = function(idata) { if(!is.data.frame){ callGeneric(data.frame(Result = idata)) } callGeneric(idata) } ) |