1) I don't know... it looks to me like you did not run my code. I have
included a complete reprex below... try it out in a fresh session. If you
still get the problem, check your sessionInfo package versions against
mine.
2) This still smells like your fill parameter is inside the aes function
with Type as value. This causes a legend to be created, and since that
legend has a different name ("Type") than the colour scale, they are
separated. Confirm that you are using fill outside the aes function
(because you don't want fill to depend on the data) and have the constant
NULL as value (so it won't generate any fill graphical representation).
3) I missed that... the ylim()/scales_y_continuous(breaks=) limits
constrain which data are included as input into the graph. The
coord_cartesian function forces the limits as desired.
4) While showing outliers is a standard semantic feature of boxplots
whether produced by ggplot or lattice or base or non-R solution, you can
please the client by making the outliers transparent.
There is a link to the generated image below.
################
# Simulate some data:
Type <- rep( c( "National", "Local" ), each = 250 )
M0 <- 1300+50*(0:4)
set.seed( 42 )
M1 <- M0 + runif( 5, -100, -50 )
X0 <- rnorm( 250, rep( M0, each = 50 ), 150 )
X1 <- rnorm( 250, rep( M1, each = 50 ), 100 )
library(ggplot2)
Year <- factor( rep( 4:8, each = 50, times = 2)
, levels = 0:8 )
DemoDat <- data.frame( Year = Year
, Score = c( X0, X1 )
, Type = Type
)
ggplot( data = DemoDat
, aes( x = Year
, y = Score
, color = Type
)
, fill = NULL
) +
geom_boxplot( position = position_dodge( 1 )
, outlier.alpha = 0
) +
theme_minimal() +
scale_colour_manual( name = "National v. Local"
, values = c( "red", "black" ) ) +
scale_x_discrete( drop = FALSE ) +
scale_y_continuous( breaks=seq( 700, 2100, 100 ) ) +
coord_cartesian( ylim = c( 700, 2100 ) )
# 
#' Created on 2018-07-28 by the [reprex package](http://reprex.tidyverse.org)
(v0.2.0).
################
sessionInfo()
R version 3.4.4 (2018-03-15)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 16.04.5 LTS
Matrix products: default
BLAS: /usr/lib/libblas/libblas.so.3.6.0
LAPACK: /usr/lib/lapack/liblapack.so.3.6.0
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
LC_PAPER=en_US.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ggplot2_3.0.0
loaded via a namespace (and not attached):
[1] Rcpp_0.12.17 pillar_1.2.3 compiler_3.4.4 plyr_1.8.4
bindr_0.1.1 tools_3.4.4
[7] digest_0.6.15 memoise_1.1.0 evaluate_0.10.1 tibble_1.4.2
gtable_0.2.0 debugme_1.1.0
[13] pkgconfig_2.0.1 rlang_0.2.1 reprex_0.2.0 rstudioapi_0.7
yaml_2.1.19 bindrcpp_0.2.2
[19] stringr_1.3.1 withr_2.1.2 dplyr_0.7.6 knitr_1.20
devtools_1.13.6 rprojroot_1.3-2
[25] grid_3.4.4 tidyselect_0.2.4 glue_1.2.0 R6_2.2.2
processx_3.1.0 rmarkdown_1.10
[31] clipr_0.4.1 purrr_0.2.5 callr_2.0.4 magrittr_1.5
whisker_0.3-2 scales_0.5.0
[37] backports_1.1.2 htmltools_0.3.6 assertthat_0.2.0 colorspace_1.3-2
stringi_1.2.3 lazyeval_0.2.1
[43] munsell_0.5.0 crayon_1.3.4
On Sat, 28 Jul 2018, Rolf Turner wrote:
On 28/07/18 17:03, Jeff Newmiller wrote:
When you understand the strong dependence on how the data controls ggplot,
using it gets much easier. I still have to google details sometimes though.
Note that it can be very difficult to make a weird plot (e.g. multiple
parallel axes) in ggplot because it is very internally consistent... a
blessing and a curse.
1) Colour is assigned in the scale according to order of levels of the
factor. Note that while they are both discrete, the so-called "discrete"
scales auto-colour, but "manual" scales require you to specify the exact
colour sequence.
2) Assigning constants to properties is done outside the mapping (aes).
Note that "colour" is for lines and shapes outlines, while "fill" is colour
meant to fill in shapes. When the names of these two scales are the same
and the values are the same, the legends will merge. If not, they will be
shown separately.
3) Discrete scales are controlled by the levels in the data. To prevent
ggplot from removing missing levels, use the drop=FALSE argument.
4) Breaks are a property of the scale.
My changes were:
Year <- factor( rep( 4:8, each = 50, times = 2 ), levels = 0:8 )
DemoDat <- data.frame(Year = Year, Score = c( X0 , X1 ), Type = Type )
ggplot( data = DemoDat
, aes( x = Year, y = Score, color = Type )
, fill = NULL
) +
geom_boxplot( position = position_dodge(1) ) +
theme_minimal() +
scale_colour_manual( name = "National v. Local"
, values = c( "red", "black" ) ) +
scale_x_discrete( drop = FALSE ) +
scale_y_continuous( breaks = seq( 700, 2100, 100 ) )
Good luck with your graphics grammar!
Dear Jeff,
Thanks very much for this cogent advice and for taking the trouble to steer
me in the right direction. However I am not quite out of the woods yet.
(1) I'm still getting two legends. How do I stop this from happening?
(2) The boxes are "filled" (with pinkish and blueish colours --- which are
referenced in the second of the two legends that I get). How can I get
"unfilled" boxes?
(3) The y-axis scale runs only from 800 to 1800, rather than from 700 to
2100. How can I force it to run from 700 to 2100?
(4) With the modified code we now get some "outliers" (points beyond the
whisker tips) plotted --- which I didn't get before (and don't want, because
"last year's" graphics did not include outliers). How can I suppress the
plotting of outliers?
I have attached a pdf containing the results of running the code that
you provided, so that you can readily see what is happening.
May I prevail upon your good graces to enlighten me about questions
(1) --- (4) above?
Ever so humbly grateful.
cheers,
Rolf
--
Technical Editor ANZJS
Department of Statistics
University of Auckland
Phone: +64-9-373-7599 ext. 88276
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