Well, of course Deepayan is right. But perhaps worth noting is that the
U.S. government and presumably many others publishes tons of economic
estimates of time series that are revised as later data comes in --
employment statistics were a recent prominent example that made the news.
I leave it to
On Wed, Nov 17, 2021 at 1:04 AM Christopher W Ryan via R-help
wrote:
>
> Thanks Bert, that looks promising.
>
> panel.smoother() is from latticeExtra
>
> https://rdrr.io/cran/latticeExtra/man/panel.smoother.html
I'm a bit unsure about your premise. If I understand correctly, the
data for the
Dear List-Members,
I want to create an S4 class with 2 data slots, as well as a plot and a
line method.
Unfortunately I lack any experience with S4 classes. I have put together
some working code - but I presume that it is not the best way to do it.
The actual code is also available on
Thanks Bert, that looks promising.
panel.smoother() is from latticeExtra
https://rdrr.io/cran/latticeExtra/man/panel.smoother.html
--Chris Ryan
On Tue, Nov 16, 2021 at 2:08 PM Bert Gunter wrote:
> Where did you get panel.smoother()? There is no such panel function in
> lattice.
>
> Is
Where did you get panel.smoother()? There is no such panel function in
lattice.
Is something like this what you want?
x <- 1:100
y <- rnorm(100, mean =5)
end <- 91 # tentative smooth after this
xyplot(y ~x, cutoff = end, col1 = "black", col2 = "red"
, panel = function(x, y, col1, col2,
eclrs.3 %>%
mutate(start.week = floor_date(realCollectionDate, unit = "week")) %>%
group_by(start.week, k12) %>%
summarise(n = n(), pctpos = 100 * mean(realResult)) %>%
xyplot(pctpos ~ start.week | k12, col = "red", data = ., layout = c(1,2),
ylab = "percent of test results positive", xlab =
On Tue, 16 Nov 2021 09:45:34 +0100
Luigi Marongiu wrote:
> contour(df$X, df$Y, df$Z)
contour() works on matrices (sometimes called "wide format" data). Z
must be a numeric matrix, X must be a numeric vector with length(X) ==
nrow(Z), and Y must be a numeric vector with length(Y) == ncol(Z).
On 16/11/2021 3:45 a.m., Luigi Marongiu wrote:
Hello,
I have a dataframe with 3 values and that I would like to plot with contour:
```
head(df)
Y X Z
1 0.0008094667 50 1
2 0.0012360955 50 1
3 0.0016627243 50 1
4 0.0020893531 50 1
5
Hi Luigi,
Maybe multinomial regression?
https://www.r-bloggers.com/2020/05/multinomial-logistic-regression-with-r/
Jim
On Tue, Nov 16, 2021 at 7:33 PM Luigi Marongiu wrote:
>
> Hello,
> I have a large database with a column containing a factor:
> ```
> > str(df)
> 'data.frame': 500 obs. of
Hello,
I have a dataframe with 3 values and that I would like to plot with contour:
```
> head(df)
Y X Z
1 0.0008094667 50 1
2 0.0012360955 50 1
3 0.0016627243 50 1
4 0.0020893531 50 1
5 0.0025159819 50 1
6 0.0029426108 50 1
>
Hello,
I have a large database with a column containing a factor:
```
> str(df)
'data.frame': 500 obs. of 4 variables:
$ MR : num 0.000809 0.001236 0.001663 0.002089 0.002516 ...
$ FCN : num 2 2 2 2 2 2 2 2 2 2 ...
$ Class: Factor w/ 3 levels "negative","positive",..: 1 1 1 1 1 1 1 1 1 1
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