Here is a base R solution:
"dat" is the data frame as in Robert's solution.
> aggregate(dat[,3:6], by= dat[1], FUN = sum, na.rm = TRUE)
STUDENT_ID PO1M PO1T PO2M PO2T
1AA15285 287.80 350 37 50
2AA15286 240.45 330 41 50
Cheers,
Bert
Bert Gunter
"The trouble with having
I’m attempting to do some content analysis on a few million tweets, but I can’t
seem to get them cleaned correctly.
I’m trying to replicate the process outlined here:
https://stackoverflow.com/questions/46734501/opposite-of-unnest-tokens
My code:
tweets %>%
unnest_tokens(word, text, token =
On 10/11/2018 5:12 PM, roslinazairimah zakaria wrote:
Dear r-users,
I have this data:
structure(list(STUDENT_ID = structure(c(1L, 1L, 1L, 1L, 1L, 1L,
2L, 2L, 2L, 2L, 2L), .Label = c("AA15285", "AA15286"), class = "factor"),
COURSE_CODE = structure(c(1L, 2L, 5L, 6L, 7L, 8L, 2L, 3L,
Dear r-users,
I have this data:
structure(list(STUDENT_ID = structure(c(1L, 1L, 1L, 1L, 1L, 1L,
2L, 2L, 2L, 2L, 2L), .Label = c("AA15285", "AA15286"), class = "factor"),
COURSE_CODE = structure(c(1L, 2L, 5L, 6L, 7L, 8L, 2L, 3L,
4L, 5L, 6L), .Label = c("BAA1113", "BAA1322",
I sent a query on this subject over 4 years ago.
https://www.mail-archive.com/r-help@r-project.org/msg212269.html
I used to use Duncan Murdoch's suggestion to install only cygwin 32 bit and
then put RTools first in my Windows path, so that its versions of cygwin
commands would get pick up
Bert
Jeff
I just resorted and took the top 30 and then reordered again in the geom_bar
function – below
ggplot(data=st.cnt)+
geom_bar(aes(x=reorder(CourseName, -n), y=n),fill = "dark blue",
stat="identity")+
theme(axis.text.x = element_text(angle = 60, hjust = 1))
Jeff
Dear r-help list members,
Sandy Weisberg and I would like to announce a new (third) edition of our book
An R Companion to Applied Regression, which has recently been published by Sage
Publications. The book provides a broad introduction to R in the general
context of applied regression
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