See the examples here:
https://www.stat.ubc.ca/~jenny/STAT545A/block10_latticeNittyGritty.html
On Mon, Mar 11, 2019 at 2:26 PM Sebastien Bihorel <
sebastien.biho...@cognigencorp.com> wrote:
> Hi,
>
> I am a big user/fan of the lattice package for plotting. As far as I know,
> lattice only offers
Hi,
I am a big user/fan of the lattice package for plotting. As far as I know,
lattice only offers one method to stratify data within a xyplot panel, using
the groups arguments.
A contrario, the ggplot package allow users to use different variables for
coloring, setting the symbols, the line
logical indexing requires the logical index to be of the same length as the
vector being indexed. If it is not, then the index
is wrapped to be of sufficient length. The result on line 3 is
y[c(TRUE, TRUE, FALSE, TRUE)] where the last TRUE was
originally the first component of !is.na(y[1:3])
Gra
First, I'm pretty sure this is a statistics question, not an R question.
But you're asserting there is a difference in the data. The statistical test is
telling you that this apparent difference is within the range of chance
variation. There's not a contradiction there, unless you mean there is
Hi,
I have two set of data in excel:
A column( 16.38, -31, -16.77, 127, -57, 23.44 and so on)
B column ( -12, -59.23, -44, 34.23, 55.5, -12.12 and so on)
I run the wilcox test as :
wilcox.test(A , B, data = mydata, paired = FALSE)
I got always the p value very high, like 0.60
Even I make chang
The build system rolled up R-3.5.3.tar.gz (codename "Great Truth") this morning.
The list below details the changes in this release. This is the wrap-up release
for the 3.5.x series, so actually, not much has happened.
You can get the source code from
http://cran.r-project.org/src/base/R-3/R-3.
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