Hello,
Note that the midpoint argument can make a big difference. In the code
below try commenting out the line where the default is changed.
f <- function(x){
(x - min(x))/(max(x) - min(x))
}
library(ggplot2)
df1 <- iris[3:5]
names(df1)[1:2] <- c("x", "y")
df1$z <- ave(df1$y,
Check out scale_colour_gradient2()
On August 23, 2020 8:12:06 PM PDT, April Ettington
wrote:
>Currently I am using these settings in ggplot to make a gradient from
>red
>to blue.
>
>geom_point( aes(x, y, color=z) ) +
>scale_colour_gradient(low = "red",high = "blue") +
>
>z is a ratio, and
Currently I am using these settings in ggplot to make a gradient from red
to blue.
geom_point( aes(x, y, color=z) ) +
scale_colour_gradient(low = "red",high = "blue") +
z is a ratio, and currently I am able to identify which have high and low
values, but I'd really like to be able to distinguish
Hi Mike,
This looks to me as though the error is not being generated by plot,
but by a method specific to the package, maybe something with a name
like plot.chart_Series, that is barfing on a vector of NA values.
Jim
On Mon, Aug 24, 2020 at 1:01 AM Mike wrote:
>
> Hi Jim,
>
> on 21.08. you
You are using a function whose help page says it is "highly experimental". In
such cases it is probably better to contact the package maintainer with a
feature request. The DESCRIPTION file says contact should be through one of
http://www.quantmod.com
https://github.com/joshuaulrich/quantmod
Hi Jim,
on 21.08. you wrote:
> Try this:
>
> plot (chart_Series (sample.xts[,1], subset=subset, TA=ta),
> type="n",ylim=c(minimum,maximum))
>
> where minimum and maximum are the extremes of the plot if there were
> any valid values.
I've set
minimum <- 0
maximum <- 1
The error persists.
Hi Daniel
Thanks,please find the code and output
#R libraries-
library(tidyverse)
library(MF)
MFSubj(lesion ~ group, calflung)
HLBoot(lesion ~ group, calflung, compare = c("con", "vac"), b = 100,
B = 100, alpha = 0.05, hpd = TRUE, bca = FALSE,
Sorry... it is already stated in the help, at the hessian section:
hessian
Only if argument hessian is true. A symmetric matrix giving an estimate
of the Hessian at the solution found. Note that this is the Hessian of
the unconstrained problem even if the box constraints are active.
So no
Dear members,
I fought for several days against an error I was getting with optim in
L-BFGS-B. The error was produced because some parameters were outside
the limits defined by upper and lower.
After investigation, the error is not produced during the optimization
itself but during the
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