Dear All,
Replacing missing values with means is generally not a good idea:
"Perhaps the easiest way to impute is to replace each missing
value with the mean of the observed values for that variable. Unfortunately,
this
strategy can severely distort the distribution for this variable, leading t
Dear Bob,
You want...
> qf( .95,1, 1)
[1] 161.4476
Best, Fraser
-Original Message-
From: Robert Sherry [mailto:rsher...@comcast.net]
Sent: Monday, December 21, 2015 2:51 PM
To: R Project Help
Subject: [R] F Distribution
When I use a table, from a Schaum book, I see that for the 95 pe
n you pass it the pos= parameter.
Thank you one and all!
Best, Fraser
-Original Message-
From: David L Carlson [mailto:dcarl...@tamu.edu]
Sent: Monday, March 16, 2015 12:02 PM
To: David L Carlson; Fraser D. Neiman; r-help@r-project.org
Subject: RE: textplot() in wordcloud package
An
foregoing code,
The labels are to the right of the points, as 'pos=4' requests.
Thanks!
Fraser D. Neiman
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PLEASE do read the posting
In my experience, another negative to RStudio is its performance when trying
to access code or data files on a remote server over a VPN connection -- even
modest files can take minutes to load and sometimes crash the session.
The native R GUI seems to handle this better and I often am forced
Dear All,
I have used the lda() function in the MASS library to estimate a set of
discriminant functions to assign samples from a training set to one of six
groups. The cross validation generates nearly perfect predictions for samples
in the training set. Hooray!
Now I want to use lda.predic
= \'Slip
> Dip\' '))
WareID Ware
1 93 Slip Dip
Thanks to Robbie and to all the folks on the R-Help list for their help.
Best, Fraser
From: Fraser D. Neiman
Sent: Friday, May 30, 2014 2:00 PM
To: r-help@r-project.org
Subject: RODBC and PosgreSQL problems
Dear All,
Ware_pkey
> sqlQuery(DRCch,paste("
+ SELECT *
+ FROM tblCeramicWare
+ "))
[1] "42P01 7 ERROR: relation \"tblceramicware\" does not exist;\nError while
executing the query"
[2] "[RODBC] ERROR: Could not SQLE
Greetings,
I am puzzled about why the _classical_ Mahalanobis distances that I get using
the {stats} mahalanobis() function do not match the distances I get from the
{robustbase} covMcd() function. Here is an example:
x <- matrix(rnorm(10*3), ncol = 3)
#here is the {stats} result:
Sx <- cov(x)
D
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