I'm trying to create a dot chart in Stata, splitting it into two categories
Running a chunk of code:
sysuse nlsw88, clear
drop if race == 3
graph dot (mean) wage, over(occ) by(race)
Creates such output:
So far so good but I'd like to remove labels of Y axis from the right graph to give the data some more space.
The only way I've been able to do that was to manually edit graph and hide the axis label object:
Is there a way to do it programmatically? I do know I could use one more over() but in some graphs of mine that is already taken.
I believe the solution is buried in help bystyle and help by_option. However, I can't get it to work with your example (I'm on Stata 12). But the description is clear. For example:
A bystyle determines the overall look of the combined graphs,
including
whether the individual graphs have their own axes and labels or if instead the axes and labels are shared across graphs arrayed in the
same row and/or in the same column;
...
There are options that let you control each of the above attributes --
see [G-3] by_option --
And also
iyaxes and ixaxes (and noiyaxes and noixaxes) specify whether the y axes and x axes are
to be displayed with each graph. The default
with most styles and
schemes is to place y axes on the leftmost graph of each row and to place x axes on
the bottommost graph of each column. The y and
x axes include the
default ticks and labels but exclude the axes titles.
If for some reason that doesn't work out, something like
sysuse nlsw88, clear
drop if race == 3
graph dot (mean) wage, over(occ) by(race)
gr_edit .plotregion1.grpaxis[2].draw_view.setstyle, style(no)
does (but I don't really like the approach). You can mess with at least the axis number [#] to do a bit of customization. I guess recording changes in the graphical editor and then recycling the corresponding code, may be one way out of difficult situations.
Related
I need to plot some potential energy curves. I.e. I need to be able to create graph looking like this:
Using the tutorial I'm able to recreate curves, create the legend etc. What I'm not able to do are the dissociation limits (labels on the right side of the picture in the red rectangle). Is there any way to make such "independent labels" at certain points on y-axis or do I have to create them like many little plots?
The easiest (albeit time-consuming) way is to use the "Window -> Drawing objects..." facilities and draw everything yourself by hand. Labels can be added with the "Text" button. Note that your life can be a made a bit easier by selecting "Position in: World coordinates" instead of "Viewport coordinates" and adding the real x and y value of each label.
I've come up with a graph (a scatterplot) of the log(1+inf) (inf = number of people infected with a given disease on the y-axis against one of the explanatory variables, in this case, the populational density (pop./km²; x-axis) on my model. The log transformation was used merely for visualization, because it spreads the distribution of the data and allows for more aesthetically appealing plots. Basically, what I want is both axis to show the value of that same variable before the log transformation. The dots need to be plotted like plot(log(1+inf),log(populational_density), but the number on the axis should refer to plot(inf,populational_density). I've provided a picture of my graph with some manual editing on the y-axis to show you the idea of what I want.
The numbers in red would be the 'inf' values equivalent to log(inf);
Please, bear in mind that those values in red do not correspond to reality.
I understand the whole concept of y = f(x), but i've been asked to provide it. Is this possible? I'm using the ggplot2package for plotting.
is it possible to "mirror" the y axis with R plotly ? I would like to do something similar to this, but with a mirrored y-axis, in order to plot 2 by 2 some data, one replicate one the regular yaxis, and the other on the mirrored axis (that would prevent me to convert a half of my data to negative values).
Also, if possible, I want the bars to be on the same place (one right under the other), not on two distinct sides like showed in the link.
Thanks in advance.
I would like to automate the graph axis values for a series of plots in Stata 13.
In particular, I would like to show axis labels like 10^-1, 0, 10^1, 10^2 etc. by feeding the axis options macros.
The solution in the following blog post gives a good starting point:
Labeling logarithmic axes in Stata graphs
I could also also produce nicer labels by using "10{sup:`x'}".
However, I cannot find the solution to the following additional elements:
the range of the axis labels would run from 10^-10 up to 10^10. Moreover, my baseline is ln, so log values are 2.3, 4.6, etc. In particular, the line below which only takes integers as input:
label define expon `vallabel', replace
I would like to force the range of the axis values by graph (e.g. a particular axis runs from 10^-2 to 10^5). I understand that range() only extends axes, but does not allow to trim them.
Any ideas on either or both of the above?
This is a very straightforward output in R or Python, even standard without many additional arguments, but unfortunately not so in Stata.
Q1. You should check out niceloglabels from SSC as announced in this thread. niceloglabels together with other tricks and devices in this territory will be discussed in a column expected to appear in Stata Journal 18(1) in the first quarter of 2018.
Value labels are limited to association with integers but that does not bite here. All you need focus on is the text which is to be displayed as axis labels at designated points on either axis; such points can be specified using any numeric value within the axis range.
Your specific problem appears to be that one of your variables is a natural logarithm but you wish to label axes in terms of powers of 10. Conversion to a variable containing logarithms to base 10 is surely easy, but another program mylabels (SSC) can help here. This is a self-contained example.
* ssc inst mylabels
sysuse auto, clear
set scheme s1color
gen lnprice = ln(price)
mylabels 4000 8000 16000, myscale(ln(#)) local(yla)
gen lnweight = ln(weight)
mylabels 2 3 4, myscale(ln(1000*#)) suffix(" x 10{sup:3}") local(xla)
scatter lnprice lnweight, yla(`yla') xla(`xla') ms(Oh) ytitle(Price (USD)) xtitle(Weight (lb))
I have used different styles for the two axes just to show what is possible. On other grounds it is usually preferable to be consistent about style.
Broadly speaking, the use of niceloglabels is often simpler as it boils down to specifying xscale(log) or yscale(log) with the labels you want to see. niceloglabels also looks at a variable range or a specified minimum and maximum to suggest what labels might be used.
Q2. range() is an option with twoway function that allows extension of the x axis range. For most graph commands, the pertinent options are xscale() or yscale(), which again extend axis ranges if suitably specified. None of these options will omit data as a side-effect or reduce axis ranges as compared with what axis label options imply. If you want to omit data you need to use if or in or clone your variables and replace values you don't want to show with missing values in the clone.
FWIW, superscripts look much better to me than ^ for powers.
I have finally found a clunky but working solution.
The trick is to first generate 2 locals: one to evaluate the axis value, another to denote the axis label. Then combine both into a new local.
Somehow I need to do this separately for positive and negative values.
I'm sure this can be improved...
// define macros
forvalues i = 0(1)10 {
local a`i' = `i'*2.3
local b`i' `" "10{sup:`i'}" "'
local l`i' `a`i'' `"`b`i''"'
}
forvalues i = 1(1)10 {
local am`i' = `i'*-2.3
local bm`i' `" "10{sup:-`i'}" "'
local lm`i' `am`i'' `"`bm`i''"'
}
// graph
hist lnx, ///
xl(`lm4' `lm3' `lm2' `lm1' `l0' `l1' `l2' `l3' `l4')
I am attempting to plot lots of graphs on the fly and I chanced upon the facet_wrap functionality. It produced the desired results until I realised that it was not assigning individual axes headings. There was just a single X and Y axis heading for a whole set of graphs. What I'm looking for is a way to assign individual axes headings for each graph.
Is this possible using the facet_wrap functionality at all?
Looking forward to any suggestions and advice.
EDIT:
(removed previous, incorrect, answer)
It is my understanding that if the axes of your plots are not the same (i.e. require different labels), the way to go would be with multiple separate plots (on the same page), and not with facet_wrap.