If you fail to force the zip code data to be read in as character data then you
will have problems. Your code does not use the colClasses argument or the
stringsAsFactors=FALSE argument (needed if you are using a version of R earlier
than 4.x). Richard was suggesting that you use the str functio
Hi Richard,
I have not considered the 4 digit zip codes, I have taken only 5 digits. I
have attached two folders, in the 'air' folder I have some specific zip
codes and in output I got proper results, whereas in the 'par' folder I got
'NA's in the minimum distance column. Actually, the problem was
-- Forwarded message -
From: Abby Spurdle
Date: Wed, Aug 5, 2020 at 3:07 PM
Subject: Re: [R] defining group colours in a call to rda
To: Andrew Halford
Hi Andrew,
Perhaps you want this:
cols <- rep_len (c ("red", "green", "blue", "aquamarine", "magenta"), 9)
cols
Or t
In addition to Rich's advice...
as always, have you searched?!
e.g. on "zip code distances" or similar at rseek.org.
This appears to have been asked before and there are tools available.
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into i
verify that you actually have five-digit zip codes stored as
characters. New Jersey and Massachusetts have zero as
the first digit. When these codes are saved as numbers, they become
four-digit codes and will probably cause errors.
For example Cambridge, Mass is '02138', and would be reported as 2
Dear R-experts,
I have two lists of US zip codes and want to pick the nearest zip code from
second list against my first list.e.g.30043 (from second list) is closest
to the zip code 30094 (from first list).So,it should come against 30094.The
code should compare the distance from each zip and pick t
Hello,
Please keep cc-ing the list R-help is threaded and questions and answers
might be of help to others in the future.
As for the question, see if the following code does what you want.
First, create a logical index i of the months between 7 and 3 and use
that index to subset the original
Hi,
Your example is not reproducible.
However, I suspect that the following is the problem:
c("red","green","blue","aquamarine","magenta")[MI_fish_all.mrt$where]
Here's my version:
where = c (3, 3, 8, 6, 6, 9, 5, 5, 9, 3, 8, 6, 9, 6, 5, 9, 5, 3, 8, 6,
9, 6, 5, 9, 5, 3, 3, 8, 6, 6, 9, 5, 5, 9, 6
Rui pointed out that you can examine the source yourself. FAQ 7.40
has a link to an article with detail on finding and examining the
source code.
A general algorithm for checking for duplicates follows (I have not
examined to R source code to see if they use something more clever).
Create an emp
Hello,
R is open source, you can see exactly what is the internal working of
any function. You can have access to the code by typing the function's
name without parenthesis at an R command line.
> duplicated
function (x, incomparables = FALSE, ...)
UseMethod("duplicated")
Now, this tells u
you could try:
library(MKinfer)
meanDiffCI(a, b, boot = TRUE)
Best
Matthias
Am 04.08.20 um 16:08 schrieb varin sacha via R-help:
Dear R-experts,
Using the bootES package I can easily calculate the bootstrap confidence
intervals of the means like in the toy example here below. Now, I am looki
Dear R-experts,
Using the bootES package I can easily calculate the bootstrap confidence
intervals of the means like in the toy example here below. Now, I am looking
for the confidence intervals for the difference between group means. In my
case, the point estimate of the mean difference is 64.
Dear Rui,
Many thanks for your response.
Best,
SV
Le lundi 3 août 2020 à 16:54:35 UTC+2, Rui Barradas a
écrit :
Hello,
No, there isn't a built-in that I know of.
Here is one:
double.mad <- function(x, include.right = FALSE, na.rm = FALSE){
if(na.rm) x <- x[!is.na(x)]
m <-
Dear Sir(s),
I request you to provide the detailed* internal mathematical working
mechanism of the following function *for better understanding.
*x[duplicated(x) | duplicated(x, fromLast=TRUE), ]*
I am having some confusion in understanding how duplicates are being
identified when thousands of reco
Hi Rasmus, Josh and Rui,
First of all many thanks in advance about your help.
The first thig is sometimes you say " you are posting in HTML and that
makes the
post unreadable as this is a plain text list" how can I put the code in the
correct way, not html (attaching in txt?)
The second about th
Hi,
I've been trying to use the output on group membership of the final leaves
in a MRT analysis to define my own colours, however I am not getting the
result I'm after.
Here is the code
fish.pca <-rda(fish_all.hel,scale=TRUE)
fish.site <- scores(fish.pca,display="sites",scaling=3)
fish.spp <-
sc
Your problem is in the subset operation. You have asked for a value of
month greater or equal to 7 and less than or equal to 6. You probably
got an error message that told you that the data were of length zero
or something similar. If you check the result of that statement:
> mddat$month >= 7 & md
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