Well, if you know the column subscripts you need, just forget about the names!
I would just write a (one-liner) function to do it for any data frame:
myfun <- function(dat)tapply(dat[,3], dat[,1:2], sum)
## dat[,1:2] is a list because it's a data frame and all data frames are lists
Bert,
Thanks! I'm pretty sure what you provided gets me to what I was
looking for, and is much simpler. I really appreciate your help.
A follow-up question:
I adjusted the code to not use "hard-coded" column names.
mat2 <- with(data_original, tapply( get(names(data_original)[3]),
list(
"As my end result, I want a matrix or data frame, with one row for each
year, and one column for each category."
If I understand you correctly, no reshaping gymnastics are needed --
just use ?tapply:
set.seed(1)
do <- data.frame(year = rep(1990:1999, length = 50),
category = sample(1:5, size =
As my end result, I want a matrix or data frame, with one row for each
year, and one column for each category.
On Fri, Oct 21, 2022 at 6:23 PM Kelly Thompson wrote:
>
> # I think this might be a better example.
>
> # I have data presented in a "vertical" dataframe as shown below in
>
# I think this might be a better example.
# I have data presented in a "vertical" dataframe as shown below in
data_original.
# I want this data in a matrix or "grid", as shown below.
# What I show below seems like one way this can be done.
# My question: Are there easier or better ways to do
Your selection priorities are inverted: ifelse is vectorised... use it to make
many individual choices at once with a single atomic vector result. If-else is
a control-flow construct... you can return one object of any type from it based
on a single comparison or alter variables and ignore the
This operation goes by a variety of names... reshape (stats), cast (reshape2),
spread (tidyr), and pivot_wider (tidyr).
The stats package reshape function is built-in, but uses terminology that can
be confusing, and may not come out sorted the way you want so pre-converting to
factor or
###
#I have data presented in a "vertical" data frame as shown below in
data_original.
#I want this data in a matrix or "grid", as shown below.
#What I show below seems like one way this can be done.
#My question: Are there easier or better ways to do this, especially
in Base R, and also in R
Create a pdf using latex that has only page numbers and then
superimpose that with your pdf using the free utility pdftk. The
animation R package has an interface to pdftk. Google to locate
pdftk and again to locate instructions.
There are also freeware GUI Windows programs that are easy
to
It is not automatic, but I've used Xournal for different tasks of editing a pdf.
It would certainly allow page numbers to be added, essentially by overlaying a
text box on each page. Clumsy, but possibly useful.
I tend to use Xournal to blank parts of documents that recipients should not
see,
The way I did this recently is to look into the .dbf file that comes
with the shapefile group from ESRI or your feature site, and search the
feature names for the one I want. This gives you an index to use to
search for the feature in the actual shapefile. Then, once the shapefile
is loaded
Bert et al.
I searched with slightly different text and found various packages that might
be relevant:
pdftools
staplr
QPDF
However, as far as I can tell, none of these offers the specific functionality
that I need.
Dennis
Dennis Fisher MD
P < (The "P Less Than"
Thank you. I knew it had nothing to do with the choice of environment, but I
thought I had seen such unwrapped code working in files in a previous version.
Maybe I misremembered. Incidentally, there is nothing special about braces:
anything that makes the statement incomplete will do.
Regards,
As the Posting Guide would have warned you, you will probably have better luck
asking this kind of question on the R-sig-geo mailing list.
On October 21, 2022 10:45:30 AM PDT, Nick Wray wrote:
>Hello I have downloaded a large shapefile dataset of UK rivers and I want
>to isolate (as an ordinary
Have you done a web search on "R packages to edit pdf files" or similar? I
got what looked like relevant hits with it.
Bert
On Fri, Oct 21, 2022 at 10:49 AM Dennis Fisher wrote:
> R 4.2.1
> OS X
>
> Colleagues
>
> I have multipage PDF files that were created in R — the files do NOT have
> page
Hello I have downloaded a large shapefile dataset of UK rivers and I want
to isolate (as an ordinary R string) the LINESTRING values for particular
lines, corresponding to rivers
Looking at the first line I can isolate the geometry by
Hello I have downloaded a large shapefile dataset of UK rivers
R 4.2.1
OS X
Colleagues
I have multipage PDF files that were created in R — the files do NOT have page
numbers. I would like to add page numbers after the fact, i.e., read a file
into R, add margin text, then output as a PDF.
Can this be done in R (base R or a package)?
It can be done in
Is there a place where you would use ifelse()? I used it here because it was
short and there was no indication of lots of data. In the example I cannot tell
the difference of a few hundred milliseconds execution time. Benchmarking code
is important for larger problems.
Tim
-Original
The code working inside stats::weighted.residuals has nothing to do
with being evaluated in a different environment than globalenv() and
has nothing to do with being inside a package.
The reason the code works inside stats::weighted.residuals is because
the function body is wrapped with braces.
Andrew Simmons is correct but doesn't explain why the code works in the
package. This is one of only two differences I have found between running code
at the command line and running it from a file. (The other difference is that
code in a file is often executed in an environment other than
Dear John,
Thank you very much for the explanation. It cleared up my confusion
about the syntax of "if ... else...", which in the help page of "if" said:
```
In particular, you should not have a newline between ‘}’ and
‘else’ to avoid a syntax error in entering a ‘if ... else’
Dear Jinsong,
When you enter these code lines at the R command prompt, the interpreter
evaluates an expression when it's syntactically complete, which occurs
before it sees the else clause. The interpreter can't read your mind and
know that an else clause will be entered on the next line.
> Ebert,Timothy Aaron
> on Fri, 21 Oct 2022 12:05:58 + writes:
> I can get it to work with
> ifelse(is.matrix(r), r[w!=0, , drop=FALSE], r[w!=0])
Note that this is *not* good advice:
if(Cnd) A else Bis very much more efficient than
ifelse(Cnd, A, B)
whenever
Thanks a lot!
I know the first and third way to correct the error. The second way
seems make me know why the code is correct in the function
stats::weighted.residuals.
On 2022/10/21 17:36, Andrew Simmons wrote:
The error comes from the expression not being wrapped with braces. You
could
I can get it to work with
ifelse(is.matrix(r), r[w!=0, , drop=FALSE], r[w!=0])
With w and r as defined r is not a matrix, so the first part will never
execute. The test is for w not equal to zero so it is always true for these
vectors. It is usually good to have test code such that all
Hello
I have managed to download and plot the outline for the River Tweed In the
Sottish borders) catchment using this code. 21009 is a zipfile downloaded
from the FEH website https://fehweb.ceh.ac.uk/Map:
require(rgdal)
shape <- readOGR(dsn ="C:/Users/nick/Desktop/PhD Oct 22", layer =
The error comes from the expression not being wrapped with braces. You
could change it to
if (is.matrix(r)) {
r[w != 0, , drop = FALSE]
} else r[w != 0]
or
{
if (is.matrix(r))
r[w != 0, , drop = FALSE]
else r[w != 0]
}
or
if (is.matrix(r)) r[w != 0, , drop = FALSE] else
Hi there,
The following code would cause R error:
> w <- 1:5
> r <- 1:5
> if (is.matrix(r))
+ r[w != 0, , drop = FALSE]
> else r[w != 0]
Error: unexpected 'else' in "else"
However, the code:
if (is.matrix(r))
r[w != 0, , drop = FALSE]
Dear Debbie,
Have a look at the vignette of the ordinal package. Look for the equation
that defines \eta. And note the minus sign associated with \beta. You'll
need to find the equation used in HLM and compare it with the equation from
ordinal.
Best regards,
ir. Thierry Onkelinx
Statisticus /
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