I need to plot a number of bar charts as part of a shiny app.
I am using ploty ly
x and y values are both numeric x being consecutive integer values.
there are often missing values in the data I wish to plot - each plot needs
to have a fixed x range.
When there are more than a few missing
Hi Phillip.
You could try some transformations of your data. Either directly in
scale_fill_gradient or in original data. log transition would be OK but not
with negative data. You could play with some transitions from scales
package. I think that you could also use rescaler function, but I do not
Perhaps scale_fill_gradientn() would be useful.
On March 8, 2021 8:05:52 PM PST, p...@philipsmith.ca wrote:
>I am having trouble with a gradient fill application in ggplot2, caused
>
>by outlier values. In my reprex, most of the values are between 2 and
>-2, but there are two outliers, 10 and
I am having trouble with a gradient fill application in ggplot2, caused
by outlier values. In my reprex, most of the values are between 2 and
-2, but there are two outliers, 10 and -15. The outliers stand out well,
which is good, but all the other numbers show almost no colour
variation. I
Can you show us your Emacs config, or at least the use-package
expression you use for poly-mode?
Best,
Tyler
John Haman via ESS-help writes:
I'm having an issue with Poly-R or poly-markdown. When I start
up my
Emacs installation, I get a strange error about a keymap:
Error (use-package):
I'm having an issue with Poly-R or poly-markdown. When I start up my
Emacs installation, I get a strange error about a keymap:
Error (use-package): poly-markdown/:catch: Symbol’s value as variable is
void: keymap Disable showing Disable logging
I have no issues loading polymode, but either
On 8/3/20 11:48 AM, Pedro páramo wrote:
Hi Rasmus, Josh and Rui,
First of all many thanks in advance about your help.
The first thig is sometimes you say " you are posting in HTML and that
makes the
post unreadable as this is a plain text list" how can I put the code in the
correct way, not
Thank you!
The problem was that tidyverse has not been loaded correctly. Sorry!
El lun, 8 de mar. de 2021 a la(s) 18:24, Eric Berger (ericjber...@gmail.com)
escribió:
> Hi Carlos,
> That is strange. The function read_csv is in the readr package.
> You could try
>
> library(readr)
>
Hi Carlos,
That is strange. The function read_csv is in the readr package.
You could try
library(readr)
readr::read_csv(etc)
Let us know what happens.
Eric
On Mon, Mar 8, 2021 at 3:57 PM Hasan Diwan wrote:
> function (file, col_names = TRUE, col_types = NULL, locale =
> default_locale(),
>
function (file, col_names = TRUE, col_types = NULL, locale =
default_locale(),
na = c("", "NA"), quoted_na = TRUE, quote = "\"", comment = "",
trim_ws = TRUE, skip = 0, n_max = Inf, guess_max = min(1000,
n_max), progress = show_progress(), skip_empty_rows = TRUE)
{
tokenizer <-
Hi everybody,
I've load tidyverse:
library(tidyverse)
and then try to use the function read_csv() but it didn't recognize it.
Thanks!
--
Saludos / Regards
Carlos A. Gonzalez
Mobile +598 94 234 653
cag...@gmail.com
[[alternative HTML version deleted]]
I can fix this by changing ess-synchronize-dirs in ess-inf.el:
(defun ess-synchronize-dirs ()
"Set Emacs' current directory to be the same as the subprocess directory.
To be used in `ess-idle-timer-functions'."
(when (and ess-can-eval-in-background
ess-getwd-command
Hallo David, Abby and Bert
Thank you for your solutions. In the meantime I found package
rriskDistributions, which was able to calculate values for lognormal
distribution from quantiles.
Abby
> 1-psolution
[1] 9.980823e-06
David
> plnorm(0.1, -.7020649, .4678656)
[1] 0.0003120744
On 2021-03-08 17:14 +0330, javad bayat wrote:
> Dear Rasmus;
> Many thanks. It works for me.
> Sincerely yours
Great :)
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Dear Javad,
data <- "Date Cases Country
2020-12-14 746 Country1
2020-12-15 324 Country1
2020-12-15 1 Country3
2020-12-13 298 Country2"
data <- read.table(text=data, header=T)
x <- reshape(
data=data,
timevar =
Dear R users;
Hi.
I have a problem with splitting dataframe into several.
I have a large dataframe (Length of 61000). It has 4 Columns as below:
"
Date Cases Country
12020-12-14 746Country1
22020-12-15 324
I am aware of that... I have my own functions for this purpose that use
splinefun. But if you are trying to also do other aspects of probability
distribution calculations, it looked like using fBasics would be easier than
re-inventing the wheel. I could be wrong, though, since I haven't used
> Jeff Newmiller
> on Fri, 05 Mar 2021 10:09:41 -0800 writes:
> Your example could probably be resolved with approx. If
> you want a more robust solution, it looks like the fBasics
> package can do spline interpolation.
base R's spline package does spline interpolation
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