Displaying 20 results from an estimated 5000 matches similar to: "odfWeave - A loop of the "same" data"
2017 Jun 01
0
odfWeave - A loop of the "same" data
On Thu, 1 Jun 2017, POLWART, Calum (COUNTY DURHAM AND DARLINGTON NHS FOUNDATION TRUST) via R-help wrote:
> Before I go and do this another way - can I check if anyone has a way of
> looping through data in odfWeave (or possibly sweave) to do a repeating
> analysis on subsets of data?
>
> For simplicity lets use mtcars dataset in R to explain. Dataset looks like this:
>
2013 Apr 12
3
Why copying columns of a data.frame becomes numeric?
Dear list,
I want the 1st, 2nd, 5th, and 6th columns of mtcars. After copying them,
the columns become numeric class rather than data frame.
But, when I copy rows, they data frame retains its class. Why is this? I
don't see why copying rows vs columns is so different.
> class(mtcars)
[1] "data.frame"
> head(mtcars)
mpg cyl disp hp drat wt qsec vs
2013 Apr 16
2
efficiently diff two data frames
Dear all,
What is the quickest and most efficient way to diff two data frames,
so as to obtain a vector of indices (or logical) for rows/columns that
differ in the two data frames? For example,
> Xe <- head(mtcars)
> Xf <- head(mtcars)
> Xf[2:4,3:5] <- 55
> all.equal(Xe, Xf)
[1] "Component 3: Mean relative difference: 0.6863118"
[2] "Component 4: Mean relative
2018 May 10
4
the first name of the first column
Dear all;
I need to run heatmap. Because my first column in my data is alphanumeric,
I can not run as.matrix(scale(my_data)). So I need to make my data readable
as in data(mtcars). In *mtcars *data the first column is alphanumeric and
has no name.
Thanks,
Greg
[[alternative HTML version deleted]]
2007 Jun 05
3
read table
Hi,
I'm a novice of R.
I want to read the following table into R:
names mpg cyl disp hp drat
Mazda RX4 21.0 6 160.0 110 3.90
Mazda RX4 Wag 21.0 6 160.0 110 3.90
The command I used is:
> test <- read.table(file.choose(),header=T)
The result is:
Error in read.table(file.choose(), header = T) :
more columns than column names
2003 Aug 07
1
graph for selected lines in stars()
Dear listers,
The following command (derived from the example in the ?stars help page)
works :
data(mtcars)
stars(mtcars[, 1:7])
But the following gives an error:
stars(mtcars[1, 1:7])
Error in s.y[i, ] : incorrect number of dimensions
I was expecting to have the star graph for the first line (Mazda Rx4)
The following give an incorrect graph for the first two cars :
stars(mtcars[1:2, 1:7])
2009 Apr 27
0
VIF's in R using BIGLM
Dear R-help
This is a follow-up to my previous post here:
http://groups.google.com/group/r-help-archive/browse_thread/thread/d9b6f87ce06a9fb7/e9be30a4688f239c?lnk=gst&q=dobomode#e9be30a4688f239c
I am working on developing an open-source automated system for running
batch-regressions on very large datasets. In my previous post, I posed
the question of obtaining VIF's from the output of
2007 Oct 01
4
how to plot a graph with different pch
I am trying to plot a graph but the points on the graph should be
different symbols and colors. It should represent what is in the legend.
I tried using the points command but this does not work. Is there
another command in R that would allow me to use different symbols and
colors for the points?
Thank you kindly.
data(mtcars)
plot(mtcars$wt,mtcars$mpg,xlab= "Weight(lbs/1000)",
2010 Feb 21
1
odfWeave - merged table cells, and adding information like totals and p-values
I'm hoping I'm missing some (probably fundamental basic process) which might make my life easier!
Lets assume I have a 3 column table summarizing results from a trial from three arms (Arm A, B and C).
For each arm there will be a number of pieces of information to report. The simplest example might be to compare this to the demographic comparisons often seen in clinical traisl where you
2004 Jan 22
1
stem plot problem with the mtcars data (PR#6453)
Full_Name: Liming Liang
Version: 1.8.1
OS: windows2000 professional
Submission from: (NULL) (67.172.81.139)
I was looking at the variable 'mpg' of the data file 'mtcars' and make a stem
plot, the following is the commend I entered. The stem plot shows the largest
observation is 32.9 but actually in the data the largest observation is 33.9,
here might be a problem.
>
2020 Apr 16
2
suggestion: "." in [lsv]apply()
I'm sure this exists elsewhere, but, as a trade-off, could you achieve
what you want with a separate helper function F(expr) that constructs
the function you want to pass to [lsv]apply()? Something that would
allow you to write:
sapply(split(mtcars, mtcars$cyl), F(summary(lm(mpg ~ wt,.))$r.squared))
Such an F() function would apply elsewhere too.
/Henrik
On Thu, Apr 16, 2020 at 9:30 AM
2020 Apr 16
6
suggestion: "." in [lsv]apply()
Hi,
I would like to make a suggestion for a small syntactic modification of
FUN argument in the family of functions [lsv]apply(). The idea is to
allow one-liner expressions without typing "function(item) {...}" to
surround them. The argument to the anonymous function is simply referred
as ".". Let take an example. With this new feature, the following call
2017 Mar 26
1
Documentation of model.frame() and get_all_vars()
Hi everyone,
This is about documentation for the model.frame() page. The
get_all_vars() function (added in R 2.5.0) is a great addition, but
the behavior of its '...' argument is different from that of
model.frame() with which it is documented and this creates ambiguity.
The current docs read:
\item{\dots}{further arguments such as \code{data}, \code{na.action},
\code{subset}. Any
2012 Nov 04
1
Apply same linear model to subset of dataframe
I have applied the same linear model to several different subsets of a
dataset. I recently read that in R, code should never be repeated. I feel my
code as it currently stands has a lot of repetition, which could be
condensed into fewer lines. I will use the mtcars dataset to replicate what
I have done. My question is: how can I use fewer lines of code (for example
using a for loop, a function or
2010 Nov 30
3
pca analysis: extract rotated scores?
Dear all
I'm unable to find an example of extracting the rotated scores of a
principal components analysis. I can do this easily for the un-rotated
version.
data(mtcars)
.PC <- princomp(~am+carb+cyl+disp+drat+gear+hp+mpg, cor=TRUE, data=mtcars)
unclass(loadings(.PC)) # component loadings
summary(.PC) # proportions of variance
mtcars$PC1 <- .PC$scores[,1] # extract un-rotated scores of
2020 Apr 16
2
suggestion: "." in [lsv]apply()
Simon,
Thanks for replying. In what follows I won't try to argue (I understood
that you find this a bad idea) but I would like to make clearer some of
your point for me (and may be for others).
Le 16/04/2020 ? 16:48, Simon Urbanek a ?crit?:
> Serguei,
>> On 17/04/2020, at 2:24 AM, Sokol Serguei <sokol at insa-toulouse.fr>
>> wrote: Hi, I would like to make a
2020 Apr 17
2
suggestion: "." in [lsv]apply()
Thanks Simon,
Now, I see better your argument.
Le 16/04/2020 ? 22:48, Simon Urbanek a ?crit?:
> ... I'm not arguing against the principle, I'm arguing about your
> particular proposal as it is inconsistent and not general.
This sounds promising for me. May be in a (new?) future, R core will
come with a correct proposal for this principle?
Meanwhile, to avoid substitute(),
2010 Jun 18
1
ggplot2 boxplot: horizontal, univariate
In ggplot2, I would like to make a boxplot that has the following properties:
(1) Contrary to default, the meaningful axis should be the horizontal axis.
Lattice does this, for instance, by
library(lattice);bwplot(~mtcars$mpg)
(2) It is *univariate*, i.e., of a single vector, say mtcars$mpg. I do not wish to make separate plots for the different values of mtcars$cyl.
(3) Nothing on the
2009 Aug 16
2
bootstrapped correlation confint lower than -1 ?
Dear R users,
Does the results below make any sense? Can the the interval of the
correlation coefficient be between *-1.0185* and -0.8265 at 95%
confidence level?
Liviu
> library(boot)
> data(mtcars)
> with(mtcars, cor.test(mpg, wt, met="spearman"))
Spearman's rank correlation rho
data: mpg and wt
S = 10292, p-value = 1.488e-11
alternative hypothesis: true rho is not
2017 May 09
3
R-3.3.3/R-3.4.0 change in sys.call(sys.parent())
Some formula methods for S3 generic functions use the idiom
returnValue$call <- sys.call(sys.parent())
to show how to recreate the returned object or to use as a label on a
plot. It is often followed by
returnValue$call[[1]] <- quote(myName)
E.g., I see it in packages "latticeExtra" and "leaps", and I suspect it
used in "lattice" as well.
This idiom