1. estimate r
2. do the z transformation - z is a simple function of r - z has an
approximate standard normal distribution.
3. use the normal distribution tables to decide on the significance of z
or of differences between two z's.
I don't see the need for packages.
John C Frain
3 A
Dear ,
On 2023-03-23 11:08 a.m., Anupam Tyagi wrote:
Thanks, John.
However, loess.smooth() is producing a very different curve compared to
the one that results from applying predict() on a loess(). I am guessing
they are using different defaults. Correct?
No need to guess. Just look at the
Thanks, John.
However, loess.smooth() is producing a very different curve compared to the
one that results from applying predict() on a loess(). I am guessing they
are using different defaults. Correct?
On Thu, 23 Mar 2023 at 20:20, John Fox wrote:
> Dear Anupam Tyagi,
>
> You didn't include y
Dear Anupam Tyagi,
You didn't include your data, so it's not possible to see exactly what
happened, but I think that you misunderstand the object that loess()
returns. It returns a "loess" object with several components, including
the original data in x and y. So if pass the object to lines(),
В Thu, 23 Mar 2023 19:48:40 +0530
Anupam Tyagi пишет:
> lines(loess(si_pov_gini ~ ny_gnp_pcap_pp_kd, gini_pci_wdi_narm))
lines() on an object of class "loess" ends up calling
lines.default(...), which uses xy.coords(...) to obtain the points to
plot, which, in turn, ends up extracting the $x and
For some reason the following code is not plotting as I want it to. I want
to plot a "loess" line plotted over a scatter plot. I get a jumble, with
lines connecting all the points. I had a similar problem with "lowess". I
solved that by dropping "NA" rows from the data columns. Please help.
librar
Thank you, but this now sounds more difficult: what would be the point
in having these ready-made functions if I have to do it manually?
Anyway, How would I implement the last part?
On Thu, Mar 23, 2023 at 1:23 AM Ebert,Timothy Aaron wrote:
>
> If you are open to other options:
> The null hypothe
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