Couldn't you just use the substr function to pull the year out yourself to make
the grouping column?
On March 15, 2019 10:40:01 PM PDT, Ek Esawi wrote:
>Hi All—
>
>I have a data frame with over 13000 rows and 4 columns. A mini data
>frame is given at the bottom. I want to split the data frame
Hi All—
I have a data frame with over 13000 rows and 4 columns. A mini data
frame is given at the bottom. I want to split the data frame into
lists each corresponds to single year which ranges from 1990 to 2018).
I wanted to use the split function, but it requires a vector of the
same length as
Stefan---
Under the measure-theoretic approach to probability, discrete & continuous
probability densities follow the same underlying mathematical principles.
Check any text on measure-theoretic probability theory.
---JFL
Stefan Schreiber
Sent by: "R-help"
03/14/2019 08:43 PM
To
Note:
Re-sending my reply below, as I noted that even though I did reply-all, the ESS
list was not included in the reply...
Apologies.
Marc
> On Mar 13, 2019, at 6:12 AM, Vitalie Spinu wrote:
>
>
>
>>> On Thu, Mar 07 2019 12:17, Marc Schwartz via ESS-help wrote:
that defines
Your pattern seems ... way overboard? Why not
gsub("-", "", tb2a$TID)
On March 15, 2019 12:45:27 PM PDT, Bill Poling wrote:
>Good afternoon.
>
>sessionInfo()
>#R version 3.5.3 (2019-03-11)
>#Platform: x86_64-w64-mingw32/x64 (64-bit)
>#Running under: Windows >= 8 x64 (build 9200)
>
>I am using
If you want to remove just the hyphen, why not do
sub("-", "", tb2a$TID)
sub("-", "", "73-017323")
[1] "73017323"
Am I missing something?
Peter
On Fri, Mar 15, 2019 at 12:46 PM Bill Poling wrote:
>
> Good afternoon.
>
> sessionInfo()
> #R version 3.5.3 (2019-03-11)
> #Platform:
On Fri, 15 Mar 2019 19:45:27 +
Bill Poling wrote:
Hello Bill,
> tb2a$TID2 <- gsub(tb2a$TID, pattern="-[0-0]{0,7}", replacement = "")
Is the pattern supposed to mean something besides the "-" you want to
remove? For the problem you describe, pattern="-" should be enough. It
should locate
Good afternoon.
sessionInfo()
#R version 3.5.3 (2019-03-11)
#Platform: x86_64-w64-mingw32/x64 (64-bit)
#Running under: Windows >= 8 x64 (build 9200)
I am using gsub function to remove a hyphen in a 9 character column of values
in order to convert it to integer.
Works fine except where the
On 2019-03-15 08:37, peter dalgaard wrote:
Mathematically, you can bring discrete and continuous distributions on a common
footing by defining probability functions as densities wrt. counting measure.
You don't really need Radon-Nikodym derivatives to understand the idea, just
the fact
On 2019-03-15 08:54, Jeff Newmiller wrote:
You really need to get into better touch with your feelings, man... how are we
supposed to know what you want? ;-)
In general you should be using the main release unless you know there is a bug
in it that affects you and has specifically been
You really need to get into better touch with your feelings, man... how are we
supposed to know what you want? ;-)
In general you should be using the main release unless you know there is a bug
in it that affects you and has specifically been addressed in the patched
version. The patched
You generally only want the patched version if it is known to fix something
that you need. As 3.5.3 is intended as the wrap-up release of 3.5.x, it is
quite likely that the two will only ever differ by name.
-pd
> On 15 Mar 2019, at 14:29 , Bill Poling wrote:
>
> Good morning.
>
> This may
Mathematically, you can bring discrete and continuous distributions on a common
footing by defining probability functions as densities wrt. counting measure.
You don't really need Radon-Nikodym derivatives to understand the idea, just
the fact that sums can be interpreted as integrals wrt
Good morning.
This may have already been asked, if so my appologies.
I want to upgrade to 3.5.3 however there is an alternative called patched.
Do I want it or the basic 3.5.3?
Thank you.
On Tue, Mar 12, 2019 at 2:28 AM Kevin Wright wrote:
>
> See the examples here:
> https://www.stat.ubc.ca/~jenny/STAT545A/block10_latticeNittyGritty.html
Excellent reference. The only improvement I could think of is to abuse
the non-standard evaluation of 'groups' to avoid repeating the name of
Can you supply the results of sessionInfo() please, and the full bam
call that causes this.
best,
Simon (mgcv maintainer)
On 15/03/2019 09:09, Frank van Berkum wrote:
> Dear Community,
>
> In our current research we are trying to fit Generalized Additive Models to a
> large dataset. We are
On 2019-03-14 19:43, Stefan Schreiber wrote:
Dear R users,
While experimenting with the dbinom() function and reading its
documentation (?dbinom) it reads that "dbinom gives the density" but
shouldn't it be called "mass" instead of "density"? I assume that it
has something to do with keeping
Hello,
Something like this?
old_par <- par(mar = par("mar") + c(5, 0, -2, 0))
boxplot(SCORE ~ ATTRIBUTE, dd, cex.axis = 0.6, las = 2)
par(old_par)
Hope this helps,
Rui Barradas
Às 00:06 de 15/03/2019, roslinazairimah zakaria escreveu:
Hi Rui and Ivan,
Yes both works well.
Dear R users,
While experimenting with the dbinom() function and reading its
documentation (?dbinom) it reads that "dbinom gives the density" but
shouldn't it be called "mass" instead of "density"? I assume that it
has something to do with keeping the function for "density" consistent
across
В Fri, 15 Mar 2019 08:06:52 +0800
roslinazairimah zakaria пишет:
> I want to draw boxplot for each individual score of the
> attributes.
You mean, a box per every possible ATTRIBUTE value? This is easily
doable with the bwplot() function from library(lattice).
--
Best regards,
Ivan
Hi Bert,
Good reference and David Urbina's example showed that a simple swap
was position dependent. The reason I pursued this is that it seems
more efficient to sequentially apply the precedence rules to the
arbitrarily sorted elements of the vector than to go through the
directed graph approach.
Thank you!
I even bought a manual on this and such feature was not there. Case solved.
Regards,
Luigi
On Thu, Mar 14, 2019 at 11:36 PM Jim Lemon wrote:
>
> Hi Luigi,
> Upon careful reading of the help page, you can do it with scatter3D:
>
> scatter3D(X, Y, Z, col.var = Z, pch = 16, cex =
Dear Community,
In our current research we are trying to fit Generalized Additive Models to a
large dataset. We are using the package mgcv in R.
Our dataset contains about 22 million records with less than 20 risk factors
for each observation, so in our case n>>p. The dataset covers the period
Thanks Bert. Excellent reference, I learned a lot from it!
Just a note: I did use search engines for at least 2 days before posting. BUT
as often happens, I did not use the right keywords. I tried several variants of
"Convert ordered pairs to sorted", "Sort vector on paired comparisons" and
If I understand correctly, the answer is a topological sort.
Here is an explanation
https://davidurbina.blog/on-partial-order-total-order-and-the-topological-sort/
This was found by a simple web search on
"Convert partial ordering to total ordering"
Btw. Please use search engines before
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