Re: [R] summarize_all Function
The warning gives some suggestions. E.g., replace funs(sum,prod) with list(sum=sum,prod=prod). % R CMD Rscript -e 'library(dplyr,warn.conflicts=FALSE); data.frame(X=1:3,Y=c(11,13,17)) %>% summarize_all(funs(sum,prod))' X_sum Y_sum X_prod Y_prod 1 641 6 2431 Warning message: `funs()` is deprecated as of dplyr 0.8.0. Please use a list of either functions or lambdas: # Simple named list: list(mean = mean, median = median) # Auto named with `tibble::lst()`: tibble::lst(mean, median) # Using lambdas list(~ mean(., trim = .2), ~ median(., na.rm = TRUE)) This warning is displayed once every 8 hours. Call `lifecycle::last_warnings()` to see where this warning was generated. % R CMD Rscript -e 'library(dplyr,warn.conflicts=FALSE); data.frame(X=1:3,Y=c(11,13,17)) %>% summarize_all(list(sum=sum,prod=prod))' X_sum Y_sum X_prod Y_prod 1 641 6 2431 On Thu, Oct 1, 2020 at 10:29 AM Jeff Reichman wrote: > r-help Forum > > > > I'm using the dplyr:: summarize_all(funs(sum)) function and am receiving a > warning message that the `funs()` is deprecated as of dplyr 0.8.0. Ok what > should I be using to summarize all columns by sum? > > > > Jeff > > > [[alternative HTML version deleted]] > > __ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] summarize_all Function
Hello, Any of the two will do, the first is now preferred. library(dplyr) mtcars %>% summarise(across(everything(), sum)) mtcars %>% summarise_all(sum) # no need for `funs()` Hope this helps, Rui Barradas Às 18:29 de 01/10/20, Jeff Reichman escreveu: r-help Forum I'm using the dplyr:: summarize_all(funs(sum)) function and am receiving a warning message that the `funs()` is deprecated as of dplyr 0.8.0. Ok what should I be using to summarize all columns by sum? Jeff [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] summarize_all Function
r-help Forum I'm using the dplyr:: summarize_all(funs(sum)) function and am receiving a warning message that the `funs()` is deprecated as of dplyr 0.8.0. Ok what should I be using to summarize all columns by sum? Jeff [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] How to decrease size of points?
It is better to understand the requirements before suggesting a way to do it.
My GUESS is that the questioner wants the circles of different sizes based on
a factor but the natural choices start too high for their needs/taste. So they
want a base size of 0.8 that is either the minimum or maximum size. I offer a
verbal solution but end with possibly a simple solution using other
functionality.
So I am proposing a solution but only if the above is what you want. If it is
something else, state it clearly.
So say you want the sizes to go from 0.8 to 1.2. The approach offered can be
tweaked to do the following in English.
Calculate the number of unique levels of the factor in the data. Make sure the
factor is (re)ordered to have those N levels and in the right order.
Create a vector of N values but they should not all be 0.8. They should have
the first one be 0.8, and the second would have added to that something like
(1.2 - 0.8)/N and the next has double that added and so on. With the proper
calculations, you get a smoothly increasing value for a size for the circles in
a vector of the right size. Many other methods can be used like multiplying the
preceding size by 1.1 and you can play rounding games or anything else. In the
end, you have a_vector looking a bit like c(0.8, 0.84, 0.88, 0.92, ... 1.16,
1.20) or whatever.
Now note the word "manual" in scale_size_manual(values = a_vector)
It means you are doing things manually rather than allowing ggplot to choose
them automatically. Saying size=variable is now not useful or even wanted. You
are choosing manually.
Just give it the vector of increasing sizes you wanted and it should use them
in that order as long as the factor you use is in the order you want. If it is
a categorical variable with your required order, there are ways to get what you
want either by making it ordered or re-ordering the factors so the hidden index
values of 1,2,3 ... correspond.
I have not tried this and am not supplying actual code, just the concept. But
this approach feels too long and cumbersome given how common a need like the
one I think you want might be.
A much better solution would be a way to specify a baseline minimum and perhaps
maximum and let the underlying ggplot print method figure things out. If the
manual pages are correct, it may make sense to use other "scale" functions that
allow you to specify a minimum and maximum size
https://www.rdocumentation.org/packages/ggplot2/versions/1.0.1/topics/scale_size
scale_size_continuous(..., range = c(1, 6))
scale_size(..., range = c(1, 6))
scale_size_discrete(..., range = c(1, 6))
I see examples that suggest it works the way I want:
(p <- qplot(mpg, cyl, data=mtcars, size=cyl))
...
p + scale_size(range = c(0, 10))
p + scale_size(range = c(1, 2))
In the above you both ask ggplot to adjust the size to match the
variable/column called cylinder and also provide a range for those values to be
distributed between.
Sounds like a plan to try?
-Original Message-
From: R-help On Behalf Of Medic
Sent: Wednesday, September 30, 2020 3:01 PM
To: Rui Barradas ; r-help@r-project.org
Subject: Re: [R] How to decrease size of points?
№1 Medic:
The code works as I want, but the points (circles) on the plot are too big. How
to decrease them? Where to insert (for instance) size = 0.8 for points
(circles) on plot?
p1 <- p + geom_point(aes(size = Stage), alpha = 1/3) + xlab ("X") +
ylab("Y") + geom_smooth()
Stage is factor, x and y - continuous
===
№2 Rui Barradas:
add the scale_size
p1 + scale_size_manual(values = 0.8)
===
№3 Medic:
Thanks Rui, but I got:
Error: Insufficient values in manual scale. 12 needed but only 1 provided.
(or Error: Continuous value supplied to discrete scale) ===
№4 Rui Barradas:
Try
nsize <- length(unique(df1$Stage))
before the plot and then
p1 + scale_size_manual(values = rep(0.8, nsize)) ===
№5 Medic:
Rui, your example is very good!
Now your code works, but not as I want.
Why did I use:
geom_point(aes(size = Stage)...?
In order to receive points of DIFFERENT size!
And what does your code do?
It assigns the same fixed size to ALL points.
I don't need this.
I sincerely thank you and closing the topic!
__
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Re: [R] (no subject)
Then please follow the link in the footer. Other recipients can't help you. > On 1 Oct 2020, at 09:30 , Marte Lilleeng wrote: > > I want to unsubscribe from this list. > > -- > Mvh Marte Synnøve Lilleeng > tlf 97 74 38 12 > > [[alternative HTML version deleted]] > > __ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Office: A 4.23 Email: pd@cbs.dk Priv: pda...@gmail.com __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] (no subject)
I want to unsubscribe from this list. -- Mvh Marte Synnøve Lilleeng tlf 97 74 38 12 [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
