Displaying 20 results from an estimated 3000 matches similar to: "Ggplot barchart drops factor levels: how to show them with zero counts?"
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
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$cyl.
(3) Nothing on the
2007 Oct 01
4
how to plot a graph with different pch
I am trying to plot a graph but the points on the graph should be
different symbols and colors. It should represent what is in the legend.
I tried using the points command but this does not work. Is there
another command in R that would allow me to use different symbols and
colors for the points?
Thank you kindly.
data(mtcars)
plot(mtcars$wt,mtcars$mpg,xlab= "Weight(lbs/1000)",
2010 Aug 04
3
retrieve name of an object?
Dear all
Is there an easier way to retrieve the name of an object? For example,
> tmp <- 1:10
> as.character(quote(tmp))
[1] "tmp"
> as.character(quote(mtcars$cyl))
[1] "$" "mtcars" "cyl"
> as.character(quote(mtcars$cyl))[3]
[1] "cyl"
The last call more than anything seems a hack. Is there a better way?
Thank you
Liviu
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
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
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(),
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
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
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 20
1
suggestion: "." in [lsv]apply()
Le 19/04/2020 ? 20:46, Gabor Grothendieck a ?crit?:
> You can get pretty close to that already using fn$ in the gsubfn package:
>> library(gsubfn) fn$sapply(split(mtcars, mtcars$cyl), x ~
>> summary(lm(mpg ~ wt, x))$r.squared)
> 4 6 8 0.5086326 0.4645102 0.4229655
Right, I thought about similar syntax but this implementation has
similar flaws pointed by Simon, i.e. it reduces
2016 Apr 14
0
Bug in by() function which works for some FUN argument and does not work for others
I think you are not using the best function for what your intentions are.
Try:
> by(data=mtcars, INDICES=list(as.factor(mtcars$am)), FUN=colMeans)
: 0
mpg cyl disp hp drat wt
qsec vs
17.1473684 6.9473684 290.3789474 160.2631579 3.2863158 3.7688947
18.1831579 0.3684211
am gear carb
0.0000000
2007 May 12
2
Implicit vs explicit printing and the call stack
Hi everyone,
I've run into a bit of strange problem with implicit vs explicit
printing and the call stack. I've included an example at the bottom of
this email. The basic problem is that I have an S3 object with a
print method. When the object is implicitly printed (ie. typed
directly into the console) the function arguments in the call stack
are exploded out to their actual values,
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
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
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:
>
2017 Feb 16
1
possible improvement to ?with examples
A querent on StackOverflow asked about the with() function
http://stackoverflow.com/questions/42283479/why-when-to-use-with-function#42283479
and asked about the example in ?with
library(MASS)
with(anorexia, {
anorex.1 <- glm(Postwt ~ Prewt + Treat + offset(Prewt),
family = gaussian)
summary(anorex.1)
})
which saves little or no typing
2008 Jul 02
1
exporting ftable
How can I export an ftable object in the same format that appears in R
command window?
For testing that i was using this example that is in help of this function.
## Start with a contingency table.
ftable(Titanic, row.vars = 1:3)
ftable(Titanic, row.vars = 1:2, col.vars = "Survived")
ftable(Titanic, row.vars = 2:1, col.vars = "Survived")
## Start with a data frame.
x <-
2018 Jul 20
2
Model formulas with explicit references
Dear R-Devel,
I seem to no longer be able to access the bug-reporting system, so am doing this by e-mail.
My report concerns models where variables are explicitly referenced (or is it "dereferenced"?), such as:
cars.lm <- lm(mtcars[[1]] ~ factor(mtcars$cyl) + mtcars[["disp"]])
I have found that it is not possible to predict such models with new data. For example: