On 04/11/2020 4:22 a.m., John wrote:
Hi,
I 'd like to create a table for literature review. Is there any good
data structure (database) I may use? Now I just use a simple dataframe as
follows, but in the second item I swap the order of year and author, and it
records 2013 as author and "XH" as year. Is there any better structure ?
If not, how may I fix the current condition?Thanks!
df <- data.frame(author = NA, year = NA, title = NA, country = NA, sample =
NA, data = NA, result = NA, note = NA, stringsAsFactors=FALSE)
df[1, ]<-c(
author = "Moore",
year = 2020,
title = "Statistics and data analysis",
country = "Colombia",
sample = NA,
data = "firm level",
result = NA,
note = NA)
df[nrow(df)+1,]<- c(year = 2013,
author = "XH",
title = NA,
country = NA,
sample = NA,
data = NA,
result = NA,
note = NA)
If you changed the last statement to
df <- rbind(df, data.frame(year = 2013,
author = "XH",
title = NA,
country = NA,
sample = NA,
data = NA,
result = NA,
note = NA))
it would correctly sort out the reordered columns.
As to a better data structure: bibliographic data is hard, because
different forms of publication should have different fields. I'd
suggest storing the data in some existing format rather than rolling
your own. For example, the utils::bibentry function is quite a bit like
BibTeX.
Duncan Murdoch
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
