search for: aesthetical

On 6/23/20 9:39 AM, Robinson, Paul via llvm-dev wrote: > >> -----Original Message----- >> From: llvm-dev <llvm-dev-bounces at lists.llvm.org> On Behalf Of Jay Foad via >> llvm-dev >> Sent: Tuesday, June 23, 2020 4:47 AM >> To: Mehdi AMINI <joker.eph at gmail.com> >> Cc: llvm-dev at lists.llvm.org; Matt Arsenault <arsenm2 at gmail.com>

On Tue, 23 Jun 2020 at 03:30, Mehdi AMINI via llvm-dev <llvm-dev at lists.llvm.org> wrote: > On Mon, Jun 22, 2020 at 2:38 PM Steve Scalpone via llvm-dev <llvm-dev at lists.llvm.org> wrote: >> >> Me? I would modify the first sentence from: >> >> > When writing the body of an if, else, or loop statement, >> > omit the braces to avoid unnecessary

Hello, I have been struggling with this for a while, tried a few things, but no clean solution so far. Here is an example from the documentation for geom_line: ========================================== # Summarise number of movie ratings by year of movie mry <- do.call(rbind, by(movies, round(movies$rating), function(df) { nums <- tapply(df$length, df$year, length)

WUA_table<-WUA.df[,2:dim(WUA.df)[2]] WUA_discharge<-WUA.df[,1] colour_scheme<-palette(rainbow(dim(WUA_table)[2])) # Main scatterplot p1 <- ggplot(NULL, aes(WUA_discharge,WUA_table)) + geom_line() + scale_color_manual(values=colour_scheme)+ scale_x_continuous(expand = c(0, 0)) + scale_y_continuous(expand = c(0, 0)) + expand_limits(y = c(min(WUA_table) -

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce

Consider the following situation: we have quantified algal concentrations for a variety of species using many samples at each of three years. It seems to make sense to generate a line plot (matplot-like), with each species plotted as a separate line, with the points connected to emphasize the temporal pattern. The problem: lots of overlapping error bars. The question: from both a

ggplot2 =================================== ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce complex multi-layered

ggplot2 =================================== ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce complex multi-layered

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce

...documentation for facet_wrap and facet_grid. Implementing these changes has required a rewrite of large parts of the coordinate systems code, so if anything seems strange with non-Cartesian coordinate systems, please get in touch. I've also made another round of tweaks to make the plots more aesthetically pleasing. This includes using a bright blue colour for geoms used to add statistical summaries to plots (contour, smooth, and quantiles), and tweaking the default colour scheme for the continuous colour scale. Please let me know what you think. Remember that most of these options are controlla...

...documentation for facet_wrap and facet_grid. Implementing these changes has required a rewrite of large parts of the coordinate systems code, so if anything seems strange with non-Cartesian coordinate systems, please get in touch. I've also made another round of tweaks to make the plots more aesthetically pleasing. This includes using a bright blue colour for geoms used to add statistical summaries to plots (contour, smooth, and quantiles), and tweaking the default colour scheme for the continuous colour scale. Please let me know what you think. Remember that most of these options are controlla...

Hello Again... I?m making a faceted plot of a response on two categorical variables using ggplot2 and having troubles with the coloring. Here is a sample that produces the desired plot: compareCats <- function(data, res, fac1, fac2, colors) { require(ggplot2) p <- ggplot(data, aes(fac1, res)) + facet_grid(. ~ fac2) jit <- position_jitter(width = 0.1) p <- p +

...q=F, add= T) >abline(v=0.2454959) Without any options, plot.density spreads out nicely, however, naturally, the line I want to add is not plotted since it is well outside the range automatically determined by plot.density hence the need to add xlim however this produces something I dont find aesthetically appealing. The plot is squeezed out into a very lean "bell" shape. So (finally) my question, how can i widen the spread of my plot and yet also be able to add my xline. Many thanks Ronnie

# ggplot2 ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce complex multi-layered graphics. Find out more at

# ggplot2 ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce complex multi-layered graphics. Find out more at

Hi, I'm having problems using the 'width' aesthetic attribute for the geom_errorbarh. This is the same problem reported earlier here, but I'll try to write the problem more clearly: http://www.mail-archive.com/r-help@r-project.org/msg62371.html The problem I'm having is that, the 'width' attribute is supposed to set the height of the endpoints of the whiskers, and