Installation | Syntax | Citation guidelines | Examples | Feedback | Change log
(09 Nov 2024)
This package provides the ability to draw spiders Stata. It is based on the Spider plots guide on Medium
The package can be installed via SSC or GitHub. The GitHub version, might be more recent due to bug fixes, feature updates etc, and may contain syntax improvements and changes in default values. See version numbers below. Eventually the GitHub version is published on SSC.
The SSC version (v1.5):
ssc install spider, replace
Or it can be installed from GitHub (v1.51):
net install spider, from("https://raw.githubusercontent.com/asjadnaqvi/stata-spider/main/installation/") replace
The palettes
package is required to run this command:
ssc install palettes, replace
ssc install colrspace, replace
ssc install graphfunctions, replace
Please note that graphfunctions
is a new program with features rolling out regularly. In case the SSC version is not working, please update it directly from the graphfunctions repository. See the link for instructions.
Even if you have the package installed, make sure that it is updated ado update, update
.
If you want to make a clean figure, then it is advisable to load a clean scheme. These are several available and I personally use the following:
ssc install schemepack, replace
set scheme white_tableau
You can also push the scheme directly into the graph using the scheme(schemename)
option. See the help file for details or the example below.
I also prefer narrow fonts in figures with long labels. You can change this as follows:
graph set window fontface "Arial Narrow"
The syntax for the latest version is as follows:
spider var [if] [in] [weight],
[ by(var) over(var) alpha(num 0-100) rotate(num) smooth(num 0-1) palette(str)
range(numlist) cuts(num) lwidth(str) lpattern(list) msymbol(list) rotatelabel
format(fmt) wrap(num) msize(str) mlwidth(str) displacelab(num) displacespike(num) grid
gcolor(str) gwidth(str) gpattern(str) glabsize(str) glabcolor(str) glabangle(str) glabopsition(str)
rline(numlist) rlinecolor(str) rlinewidth(str) rlinepattern(str)
scolor(str) swidth(str) slabsize(str) slabcolor(str)
nolegend legpositon(num) legpositon(num) legcolumns(num) legsize(num) xsize(num) ysize(num)
stat(mean|sum) pad(num) * ]
See the help file help spider
for details.
Basic syntax 1: Wide form
spider variables, over(var)
Basic syntax 2: Long form
spider variable, by(var) over(var)
See help file for details.
Software packages take countless hours of programming, testing, and bug fixing. If you use this package, then a citation would be highly appreciated. Suggested citations:
in BibTeX
@software{spider,
author = {Naqvi, Asjad},
title = {Stata package ``spider''},
url = {https://github.com/asjadnaqvi/stata-spider},
version = {1.5},
date = {2024-10-13}
}
or simple text
Naqvi, A. (2024). Stata package "spider" version 1.5. Release date 13 October 2024. https://github.com/asjadnaqvi/stata-spider.
or see SSC citation (updated once a new version is submitted)
Set up the data:
clear
use "https://github.com/asjadnaqvi/stata-spider/blob/main/data/spider_data2.dta?raw=true", clear
and test the command:
spider index, by(policy)
spider index, by(policy) over(region)
spider index, by(policy) over(region) alpha(0)
spider index, by(policy) over(region) alpha(0) msym(none)
spider index, by(policy) over(region) alpha(0) msym(square) msize(0.2) ra(0(20)100)
spider index, by(policy) over(region) alpha(0) rot(30)
spider index, by(policy) over(region) alpha(0) rot(30) rotatelab
spider index if inlist(region,1,6), by(policy) over(region) ra(10(10)80) alpha(2) rot(30) format(%6.0f)
spider index if inlist(region,1,6), by(policy) over(region) ra(10(10)80) alpha(2) rot(30) format(%6.0f) smooth(0)
spider index if inlist(region,1,6), by(policy) over(region) ra(10(10)80) alpha(2) rot(30) format(%6.0f) smooth(0.5)
spider index if inlist(region,1,6), by(policy) over(region) ra(10(10)80) alpha(2) rot(30) format(%6.0f) smooth(1)
spider index, by(policy) over(region) smooth(0.1) palette(tol vibrant) lw(0.4) msym(none) alpha(2) rot(30) format(%6.0f)
spider index, by(policy) over(region) smooth(0.1) palette(carto Bold) lw(0.4) msym(none) alpha(2) rot(30) format(%6.0f)
spider index, by(policy) over(region) ra(10(10)80) smooth(0.1) gc(eltblue) gw(0.05) rot(30) format(%6.0f)
spider index, by(policy) over(region) ra(10(10)80) smooth(0.1) gc(eltblue) gw(0.05) sc(black) sw(0.1) rot(30) format(%6.0f)
spider index, by(policy) over(region) ra(10(10)80) smooth(0.1) gc(eltblue) gw(0.05) sc(eltblue) sw(0.3) displacelab(20) displacespike(10) rotatelab rot(30) format(%6.0f)
spider index, by(policy) over(region) smooth(0) alpha(5) rot(30) format(%6.0f) xsize(4) ysize(3)
spider index, by(policy) over(region) smooth(0) alpha(5) rot(30) format(%6.0f) xsize(4) ysize(3) legpos(3) legcol(1)
Additional features from v1.5:
spider index if inlist(region,1,2), by(policy) over(region) smooth(0) alpha(10) rot(15) format(%6.0f) xsize(4) ysize(3) legpos(3) legcol(1) wrap(6) grid range(0 10 20 40 80) rline(35) msym(circle square) msize(0.8)
gen index2 = index / 100
spider index2, by(policy) over(region) ra(0.1(0.1)0.8) format(%5.1f) rot(30) smooth(0) alpha(0) glabs(2)
spider index2, by(policy) over(region) ra(0.1(0.1)0.8) format(%5.1f) rot(30) smooth(0) alpha(0) glabc(blue) glabs(1.5) glaba(-90)
Word wrapping
spider index, by(policy) over(region) smooth(0) alpha(5) wrap(5) rot(30)
Let's make our data wide:
encode policy, gen(policy2)
summ policy2, meanonly
local items = r(max)
forval i = 1 /`items' {
local val`i' : label policy2 `i'
}
collapse (mean) index, by(policy2 region)
reshape wide index, i(region) j(policy2)
forval i = 1 / `items' {
lab var index`i' "`val`i''"
}
spider index*, over(region) smooth(0) alpha(5) wrap(5) rot(30)
Reload the data:
use "https://github.com/asjadnaqvi/stata-spider/blob/main/data/spider_data2.dta?raw=true", clear
spider index, by(policy) over(region) alpha(0) wrap(8) ra(0(20)80) format(%5.0f) rot(30)
spider index, by(policy) over(region) alpha(0) wrap(8) ra(0 10 30 50 70 80) format(%5.0f) rot(30)
spider index, by(policy) over(region) alpha(0) wrap(8) ra(0(20)80) format(%5.0f) grid rot(30)
spider index, by(policy) over(region) alpha(0) wrap(8) ra(0(20)80) format(%5.0f) grid rline(25 50 70) rlinew(0.2) rlinec(black) rot(30)
spider index, by(policy) over(region) alpha(0) wrap(8) ra(0(20)80) cuts(5) format(%5.0f) ///
msym(S T O +) msize(1.2) rot(30)
spider index, by(policy) over(region) alpha(0) wrap(8) ra(0(20)80) cuts(5) format(%5.0f) ///
lp(dash dot solid -- -.-) rot(30)
Here is a proper example of data in wide form, which in previous versions (<v1.4) would have required reshaping the data:
set scheme white_tableau
graph set window fontface "Abel"
import delim using "https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2024/2024-02-13/gifts_gender.csv", clear
lab var spendingcelebrating "Spending celebrating"
lab var greetingcards "Greeting cards"
lab var eveningout "Evening out"
lab var giftcards "Gift cards"
spider spendingcelebrating- giftcards, over(gender) smooth(0.2) alpha(15) lw(0.4) palette(w3 default, select(1 4)) rotatelab ///
legcol(3) legsize(3) msize(0.15) sc(black) ccolor(gs13) range(0 60) cuts(7) format(%5.0f) displacelab(15) slabsize(2) wrap(5) ///
title("{fontface Merriweather Bold:♥ Candy crush ♥}", size(7) color(cranberry)) ///
subtitle("(Percentage positive respones by spending category)", size(2)) ///
note("Source: TidyTuesday, 14th Feb 2024.", size(1.5)) ///
plotregion(margin(t-5 b-5 l-20 r-20))
Here is another version which showcases v1.5 updates:
spider spendingcelebrating- giftcards, over(gender) smooth(0.2) alpha(15) lw(0.4) palette(w3 default, select(1 4)) rotatelab rline(25 50) ///
legcol(3) legsize(3) msize(0.15) sc(black) gcolor(gs13) format(%5.0f) displacelab(20) glabsize(2) wrap(5) ///
plotregion(margin(l-20 r-20)) ra(0(10)60) grid lp(solid dash) ///
title("{fontface Merriweather Bold:Valentines day spending by gender}", size(5) color(cranberry)) ///
note("Source: TidyTuesday, 14th Feb 2024.", size(1.5))
Please open an issue to report errors, feature enhancements, and/or other requests.
v1.51 (09 Nov 2024)
A minor release with some major changes
flip
.v1.5 (13 Oct 2024)
msymbol()
and lwidth()
now take lists. If there are less elements than the number of lines, then the last values are inherited by the remaining lines.grid
which draws straight lines as grids rather than circles. rline()
, rlinec()
, rlinep()
, rlinew()
for reference lines. Can take lists.c*()
options changes to g*()
options to reflect grid line values. E.g. ccolor()
changed to gcolor()
.ra*()
options renamed to g*()
options to reflect grid label values. E.g. ralabelsize()
changed to glabelsize()
.range()
now accepts numerical lists (numlist). This makes cuts()
almost redundant but it can still be used if no custom range is specified and one needs to increase the number of cuts for auto-calculated ranges.gwidth()
added.v1.4 (04 Oct 2024)
pad()
to control minmax displacement of the axis rangewrap()
to allow text wrapping. Requires the graphfunctions
package.n()
to control how many points are generated to plot the splines between two points.stat()
where users can choose between stat(mean)
(default) or stat(sum)
if the data is collapsed.v1.33 (02 Jul 2024)
over()
and by()
were not being labeled correctly.v1.32 (11 Jun 2024)
wrap()
to wrap labels.v1.31 (11 May 2024)
raformat()
to just format()
to standardize the use across packages.format()
default improved to show decimals.by()
and over()
to have minimum number of accepted categories.v1.3 (16 Feb 2024)
by()
and over()
options.rotatelabel
option added.v1.23 (12 Nov 2023)
slabcolor()
(requested by Christian Gessinger).saving()
.v1.22 (07 Jul 2023)
over()
categories were not passing correctly (reported by Kamala Kaghoma).v1.21 (10 Jun 2023)
ralabcolor()
, ralabangle()
.v1.2 (20 May 2023)
nolegend
, legendpos()
, legendsize()
, legendcol()
.xsize()
and ysize()
added to allow users to control the dimensions.v1.1 (24 Dec 2022)
v1.0 (13 Oct 2022)