Displaying 20 results from an estimated 10000 matches similar to: "help with algorithm"
2010 Jan 30
2
parsing files for plot
Hi,
I have many files containing one column of data. I like to use the scan
function to parse the data. Next I like to bind to a large vector.
I try this like:
count<-1
files <- list.files() # all files in the working directory
for(i in files) {
tmp <- scan(i)
assign(files[count], tmp)
count<-count+1
}
This part works!
Now I like to plot the data in a boxplot.
2017 Jun 01
3
odfWeave - A loop of the "same" data
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:
> mtcars
mpg cyl disp hp drat wt ...
Mazda RX4 21.0 6 160 110 3.90 2.62 ...
Mazda RX4 Wag 21.0 6 160 110 3.90
2003 Jul 22
1
Conditional Statements for Graphing
Dear List
I have math test scores for male and female students where gender is a dummy code (female =1). I also have a variety of other demographic variables.
However to begin, I want to create a very simple stripchart where female math scores are a blue circle and male scores are a red triangle.
I am having difficulty using conditional statements to accomplish this.
Thank you.
------
2009 May 13
8
read multiple large files into one dataframe
Hello
Apologies if this is a simple question, I have searched the help and
have not managed to work out a solution.
Does anybody know an efficient method for reading many text files of the
same format into one table/dataframe?
I have around 90 files that contain continuous data over 3 months but
that are split into individual days data and I need the whole 3 months
in one file for
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)",
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
2009 Sep 24
3
pipe data from plot(). was: ROCR.plot methods, cross validation averaging
All,
I'm trying again with a slightly more generic version of my first question. I can extract the
plotted values from hist(), boxplot(), and even plot.randomForest(). Observe:
# get some data
dat <- rnorm(100)
# grab histogram data
hdat <- hist(dat)
hdat #provides details of the hist output
#grab boxplot data
bdat <- boxplot(dat)
bdat #provides details of the boxplot
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
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
2013 Jan 20
2
Lattice levelplot- remove unused levels per panel
Hi,
I am using levelplot, and would like remove from each panel (condition) its
unused x levels.
e.g.
Remove from panel vs=1 the cyl level=8.
data(mtcars)
levelplot(mpg~factor(cyl)*factor(gear)|factor(vs))
Thanks for your help,
Ronny
--
View this message in context: http://r.789695.n4.nabble.com/Lattice-levelplot-remove-unused-levels-per-panel-tp4656087.html
Sent from the R help mailing
2013 Apr 17
2
remove higher order interaction terms
Dear all,
Consider the model below:
> x <- lm(mpg ~ cyl * disp * hp * drat, mtcars)
> summary(x)
Call:
lm(formula = mpg ~ cyl * disp * hp * drat, data = mtcars)
Residuals:
Min 1Q Median 3Q Max
-3.5725 -0.6603 0.0108 1.1017 2.6956
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.070e+03 3.856e+02 2.776 0.01350 *
cyl
2012 Jul 01
4
geom_boxplot
Also, it is possible to change "ylim" also?
2012/7/1 li li <hannah.hlx@gmail.com>
> Dear all,
> I have a few questions regarding the boxplot output from the
> "geom_boxplot" function.
> Attached is the output I get. Below are my questions:
>
> 1. How can I define the xlab and ylab myself?
> Also I would like to remove
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(),
2016 Apr 14
4
Bug in by() function which works for some FUN argument and does not work for others
Dear Sirs,
I am Professor at Indira Gandhi Krishi Vishwavidyalaya, Raipur,
Chhattisgarh, India.
While taking classes, I found the *by() *function producing following error
when I use FUN=mean or median and some other functions, however,
FUN=summary works.
Given below is the output of the example I used on a built-in dataset
"mtcars", along with error message reproduced herewith:
>
2014 Feb 11
1
getting environment from "top" promise
Hi all,
It seems that there is a use case for obtaining the environment for the
"top" promise. By "top", I mean following the promise chain up the call
stack until hitting a non-promise.
S4 data containers often mimic the API of base R data structures. This
means writing S4 methods for functions that quote their arguments, like
with() and subset(). The methods package
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
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
2006 Sep 03
2
lm, weights and ...
> lm2 <- function(...) lm(...)
> lm2(mpg ~ wt, data=mtcars)
Call:
lm(formula = ..1, data = ..2)
Coefficients:
(Intercept) wt
37.285 -5.344
> lm2(mpg ~ wt, weights=cyl, data=mtcars)
Error in eval(expr, envir, enclos) : ..2 used in an incorrect context,
no ... to look in
Can anyone explain why this is happening? (Obviously this is a
manufactured example, but it
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
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:
>