:35 PM
To: Szumiloski, John <john.szumilo...@bms.com>
Cc: r-help@r-project.org
Subject: Re: [R] tidyverse repeating error: "object 'rlang_mut_env_parent' not
found"
The most likely explanation is you have a new version of dplyr/tibble and an
old version of rlang. Try re-installin
## end console output
Thanks again for any feedback,
John
John Szumiloski, Ph.D.
Principal Scientist, Statistician
Pharmaceutical Development / Drug Product Science & Technology
NBR105-1-1411
Bristol-Myers Squibb
P.O. Box 191
1 Squibb Drive
New Brunswick, NJ
USA
08903-0191
UseRs,
When doing some data manipulations using the tidyverse, I am repeatedly getting
the same error message in now three separate situations. I can write up a
reproducible example, but want to lay out the high-level issues in case someone
recognizes exactly what is happening here.
The
Dear useRs:
I am having difficulty understanding how to make a legend in ggplot when I only
want certain geoms to be indicated, in the presence of nested groups. An
example:
require(tidyverse)
dat <- tibble(X=rep(seq(4),3),
# fake data
Y=c(-1.11, -0.46,
Dear useRs,
I am developing a package using RStudio and roxygen markup files. I have run
into a problem while checking.
The relevant function is a generic S3 statistical function modeled on t.test(),
with methods. It returns an object of class "htest" etc. Here Is the
(anonymized) relevant
Dear useRs,
I recently had a query concerning how to customize the graphics parameters in
lattice::xyplot to change not only the color but also the pch symbols, lty and
lwd line parameters, etc., within each grouping variable in the plot.
Dear useRs,
I am using the ggtern package to generate ternary plots in ggplot2. I am
making a diagram demonstrating how to interpret a ternary plot and am using
ggtern::ggtern.multi to generate it. I intend to have three panels, one for
the scale and grid for each component. However, is not
Dear useRs,
I recently posted here
(https://stat.ethz.ch/pipermail/r-help/2015-July/430223.html) a query regarding
customizing panel functions for lattice::xyplot. I received some helpful
replies offline and while I learned some things, they did not get at my issue.
However there was a
pointer or two to good resources explaining
the use of the subscripts argument in panel functions? Sarkar's book is
fantastic but its treatment of this issue is quite thin.
Thanks,
John Szumiloski
John Szumiloski, Ph.D.
Principal Scientist, Statistician
Analytical and Bioanalytical Development
Dear useRs,
I have a univariate spline application where I have a fixed set of independent
variable values. I would like to be able to generate an interpolating spline,
given a set of dependent variables, which can easily return the value of the
interpolant over its entire range, for use in
Dear useRs,
Some time ago I queried the list as to an efficient way of building a function
which acts as ls() but with a different default for all.names:
http://tolstoy.newcastle.edu.au/R/e6/help/09/03/7588.html
I have struck upon a solution which so far has performed admirably. In
-Original Message-
From: Hadley Wickham [mailto:h.wick...@gmail.com]
Sent: Tuesday, 12 March, 2013 1:34 PM
To: Szumiloski, John
Cc: r-help@r-project.org
Subject: Re: [R] ls() with different defaults: Solution;
On Tue, Mar 12, 2013 at 12:59 PM, Szumiloski, John john_szumilo...@merck.com
Dear useRs,
I would like to be able to smoothly use the log base graphics argument as an
argument to pairs(). Currently in my hands, pairs() accepts the argument,
makes transformed plots accordingly, but then stumbles over some annotation
commands. Example:
begin session
Dear useRs,
I am using the gamm function in the mgcv package to model a smooth relationship
between a covariate and my dependent variable, while allowing for
quantification of the subjectwise variability in the smooths. What I would
like to do is to make subjectwise predictions for plotting
]
Sent: Friday, 24 June, 2011 11:43 AM
To: Szumiloski, John
Cc: r-help@r-project.org
Subject: Re: mgcv:gamm: predict to reflect random s() effects?
Given that you don't have huge numbers of subjects you could fit the model with
`gam' rather than `gamm', using
out.gamm - gam( Y ~ Group + s(X
quite a bit with both my
own tinkerings and this advice. Thanks again. -John
-Original Message-
From: Deepayan Sarkar [mailto:deepayan.sar...@gmail.com]
Sent: Tuesday, 12 April, 2011 3:31 AM
To: Szumiloski, John
Cc: r-help@r-project.org
Subject: Re: [R] Override col.lines and col.symbol
Dear useRs,
I have a longitudinal experiment with several treatment groups, ~20 subjects
per group, ~6 timepoints and a continuous dependent variable. I have been
successfully been using lattice::xyplot with this data. However, I have been
stumped with a particular application of it.
I
The knee jerk thought I had was to express the correlation matrix as a generic
Choleski decomposition, then randomly populate the triangular decomposed
matrix. When you remultiply, you can simply rescale to 1s on the diagonals.
Then rmnorm as usual.
In R, see ?chol
If you want to get fancy,
I love Patrick Burns' comment on the - operator in R Inferno:
If you think you need '-', think again. If on reflection you still
think you need '-', think again.
Is this in package::fortunes?
John
John Szumiloski, Ph.D.
Senior Biometrician
Biometrics Research
WP53B-120
Merck Research
Dear useRs,
I have a complicated function to be optimized with optim(), and whose
parameters are passed to another function within its evaluation. This
function allows for the parameters to enter as arguments to various
probability distribution functions.
However, I am violating some scoping
-Original Message-
From: Rolf Turner [mailto:r.tur...@auckland.ac.nz]
Sent: Wednesday, 11 March, 2009 5:09 PM
To: Szumiloski, John
Cc: r-help@r-project.org
Subject: Re: [R] Easy Recall to get ls(..., all.names=TRUE)?
On 12/03/2009, at 3:16 AM, Szumiloski, John wrote:
Dear useRs
Dear useRs,
I have a utility function which is meant to be a clone of ls(), except
with the option all.names=TRUE. Currently however, the function merely
consists of a copy of the source code of ls(), except the default value
of all.names is different. That approach has the drawback of future
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