On 22/09/19 11:19 PM, Richard O'Keefe wrote:
Whenever you want a vector that counts something,
cumsum of a logical vector is a good thing to try.
Fortune nomination.
cheers,
Rolf
--
Honorary Research Fellow
Department of Statistics
University of Auckland
Phone: +64-9-373-7599 ext. 882
Hello,
Is this what you are looking for?
ci95 <- apply(my.data, 2, quantile, probs = c(0.025, 0.975))
Hope this helps,
Rui Barradas
Às 20:42 de 23/09/19, varin sacha via R-help escreveu:
Dear R-Experts,
Here is my reproducible R code to get the Mean squared error of GAM and MARS
after I
Dear R-Experts,
Here is my reproducible R code to get the Mean squared error of GAM and MARS
after I = 50 iterations/replications.
If I want to get the 95% bootstrap CIs around the MSE of GAM and around the MSE
of MARS, how can I complete/modify my R code ?
Many thanks for your precious help.
> Richard O'Keefe
> on Sat, 21 Sep 2019 09:39:18 +1200 writes:
> Ah, *now* we're getting somewhere. There is something
> that *can* be done that's genuinely helpful.
>> From the R(1) manual page:
>-q, --quiet Don't print startup message
>--silent
Hi Malte,
I only skimmed your question and looked at the desired output.
I wondered if the apply function could meet your needs.
Here's a small example that might help you:
m <- matrix(1:9,nrow=3)
m <- cbind(m,apply(m,MAR=1,mean)) # MAR=1 says to apply the function
row-wise
m
# [,1] [,2]
I would like to determine the geographical distances from a number of addresses
and determine the mean value (the mean distance) from these.
In case the dataframe has only one row, I have found a solution:
```r
# Pakete laden
library(readxl)
library(openxlsx)
library(googleway)
#library(sf)
libr
Hi Abby,
I don’t really understand why you’re upset with me, but a) they’re cultured
cell lines, not animals, b) they might cure people, c) I don’t do experiments,
d) modern slavery, dated today:
https://www.theguardian.com/world/2019/sep/21/such-brutality-tricked-into-slavery-in-the-thai-fishi
Hah, fair. I do hope somebody does see it and gives it a thought.
Thanks,
Ben
On Sun, 22 Sep 2019 at 01:29, Roy Mendelssohn - NOAA Federal <
roy.mendelss...@noaa.gov> wrote:
> Please All:
>
> While as I said in my first post I am still not convinced that the OP was
> in good faith to improve R a
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