utils::globalVariables(c("Paper", "Tag", "content", "cont"))
isi2df <- function(D) {
# D <- D[nchar(D)>0] # remove empty rows
# remove empty rows and strange characters
res <- try(D <- D[nchar(D) > 1], silent = T)
if (inherits(res, "try-error")) {
D <- removeStrangeChar(D)
# next
} else {
D <- res
rm(res)
}
D <- D[!(substr(D, 1, 3) %in% c("FN ", "VR "))]
for (i in 1:length(D)) {
if (substr(D[i], 1, 3) == " ") substr(D[i], 1, 3) <- substr(D[i - 1], 1, 3)
}
Papers <- which(substr(D, 1, 3) == "PT ") # first row of each document
nP <- length(Papers) # number of documents
rowPapers <- diff(c(Papers, length(D) + 1))
numPapers <- rep(1:nP, rowPapers)
DATA <- data.frame(Tag = substr(D, 1, 3), content = substr(D, 4, nchar(D)), Paper = numPapers)
DATA$Tag <- gsub(" ", "", DATA$Tag)
df <- DATA %>%
group_by(Paper, Tag) %>%
summarise(cont = paste(content, collapse = "---", sep = "")) %>%
arrange(Tag, Paper) %>%
pivot_wider(names_from = Tag, values_from = cont) %>%
ungroup()
df <- as.data.frame(df)
df$PY <- as.numeric(df$PY)
missingTags <- setdiff(c("AU", "DE", "C1", "RP", "CR", "PY", "SO", "TI", "TC"), names(df))
if (length(missingTags) > 0) {
cat("\nWarning:\nIn your file, some mandatory metadata are missing. Bibliometrix functions may not work properly!\n
Please, take a look at the vignettes:
- 'Data Importing and Converting' (https://www.bibliometrix.org/vignettes/Data-Importing-and-Converting.html)
- 'A brief introduction to bibliometrix' (https://www.bibliometrix.org/vignettes/Introduction_to_bibliometrix.html)\n\n")
cat("\nMissing fields: ", missingTags, "\n")
}
### replace "---" with ";"
tagsComma <- c("AU", "AF", "CR")
nolab <- setdiff(tagsComma, names(df))
tagsComma <- tagsComma[(!(tagsComma %in% nolab))]
df1 <- data.frame(lapply(df[tagsComma], function(x) {
gsub("---", ";", x)
}))
### replace "---" with " "
otherTags <- setdiff(names(df), tagsComma)
df2 <- data.frame(lapply(df[otherTags], function(x) {
trimES(gsub("---", " ", x))
}))
df <- cbind(df1, df2)
rm(df1, df2)
### store raw affiliation format to extract link among authors and affiliations
df$C1raw <- df$C1
###
df$DB <- "ISI"
# Authors
df$AU <- trimES(gsub(",", " ", df$AU))
# Toupper
DI <- df$DI
AB <- df$AB
TI <- df$TI
DE <- df$DE
df <- data.frame(lapply(df, toupper))
df$DI <- DI
df$AB_raw <- AB
df$TI_raw <- TI
df$DE_raw <- DE
# add sep ; to affiliations
df$C1 <- trim(gsub("\\[.*?\\]", "", df$C1)) # to remove author info in square brackets
df$C1 <- gsub("\\.", ".;", df$C1)
df <- df[names(df) != "Paper"]
return(df)
}
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