Hello Folks,
As a neophyte R user I frequently have questions, and I�m sorry to bother
experienced users with what may appear to be trivial questions to which I
should be able to find answers without help. I�ve searched everywhere I know
to look, and can�t find any reference to this question.
Can someone help me with R code to perform approximations to second order
differential equations and systems of first order differential equations using
Euler's method and Runge-Kutta? I am not a student and this is not for a test
or graded assignment.
Examples (unrelated to each other):
h =
Using a PC I have written the R code for my elementary statistics students.
One of the students has a Mac. Should the same lines of code work on a Mac?
Where can the student find support for R on her Mac? I don't know anything
about them, and have never used one.
Thank you.
, 2016 12:14 PM
To: Tom Mosca
Cc: jim holtman; Jianling Fan; r-help@r-project.org
Subject: Re: [R] means by year, month and day
If you are very inexperienced with R you still have time to forget you ever
heard
of the attach function. Your code
> attach(datATMP)
> datATMP1 <- datA
velop better form. So, I'll keep working on it.
Thank you for your kind response and examples. I will study them.
Sincerely, Tom
From: jim holtman [jholt...@gmail.com]
Sent: Sunday, July 17, 2016 7:14 PM
To: Jianling Fan
Cc: Tom Mosca; r-help@r-project.org
Subj
Hello Good Folk,
My dataframe looks like this:
> mydata
X.YY MM DD hh WDI R.WSP D.GST PRES ATMP DEWP
12015 1 1 0 328 3.6 4.5 1028.0 3.8 -3.5
22015 1 1 1 300 2.1 2.7 1027.9 3.7 -4.4
32015 1 1 2 264 2.4 2.9 1027.7 3.6 -4.5
42015 1 1 3 230
Solved it myself:
aggregate(mydata, by=mydata[c("MM","DD")], FUN=mean)
Thank you.
# -
My dataframe looks like this:
> mydata
X.YY MM DD hh WDI R.WSP D.GST PRES ATMP DEWP
12015 1 1 0 328 3.6 4.5
Hello,
I�ve tried several times to learn R, but have never gotten past a particular
gate. My data are organized by column in Excel, with column headers in the
first row. The columns are of unequal lengths. I export them as CSV, then
import the CSV file into R. I wish to summarize the data
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