Hallo Bert
Sorry for the confusion, I may not have used correct wording in describing
what I wanted to do. Consider this example
# 2 different distribution densities mixed together in 1:2 proportion
x <- (0:100)/100
y1 <- dnorm((x, mean=.3, sd=.1)
y2 <- dnorm((x, mean=.7, sd=.1)
ymix <-
Thank you all of your help. I'm new in R. I'll follow Bert's and your
suggestions to post the question in another area in future.
Happy New Year
Kai
On Thursday, December 30, 2021, 02:05:12 PM PST, CALUM POLWART
wrote:
You will get shot down in flames for posting this here. This list
Hello,
This seems like a repetition of a question you already asked and it has
nothing to do with the fill aesthetic.
The error message is caused by the maps
y = mpg[[y]]
color = mpg[[c]]
First you filter the data keeping only a subset of the rows but now you
are using the full data. This
1. Please read and follow the Posting Guide linked below. Among other
things, it says:
"For questions about functions in standard packages distributed with R
(see the FAQ Add-on packages in R), ask questions on R-help."
[The link is:
Hi R team,
I can create a plot using the code below:
library(ggplot2)
library(dplyr)
mpg %>%
filter(hwy <35) %>%
ggplot(aes(x = displ, y = hwy, color = cyl)) +
geom_point()
ggsave("c:/temp/hwy_cyl.jpg",width = 9, height = 6, dpi = 1200, units = "in")
I want to do the exactly same work
Petr:
1. I now am somewhat confused by your goals. Any curve fitting
procedure can fit curves to data, including discrete points on a
smooth curve. What cannot be done is to recover the exact parameters
of the smooth curve from which your data derive, at least not without
knowing how the curve
Thank you Bert
The values are results from particle size measurement by sedimentation and
they are really available only as these cumulative or density distributions.
What I thought about was that there is some package which could fit data of
such curves and deliver parameters of fitted
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