matching percentiles on the graph

[dustychair]

Hi,

I'd like to create a graph as below. I have a data set including two variables. x axis will be one of the variables' percentiles and y axis will have the other one's percentiles. I did something in excel but I couldn't draw the arrows. Is there a way to draw that fancy graph?

Thanks

[PGStats]

If you wanted just the lines, you could use DROPLINE in SGPLOT. For arrows, you will need VECTOR in SGPLOT. for the curve, use SPLINE.

[Reeza]

Or via GTL, using DRAWARROW statements.

[Ksharp]

data x;
set sashelp.class(firstobs=16);
x1=0;
run;

proc sgplot data=x;
scatter x=weight y=height/ markerattrs=(symbol=trianglefilled size=10 color=black);
dropline x=weight y=height/ dropto=x lineattrs=(color=black);

scatter x=x1 y=height/ markerattrs=(symbol=triangleleftfilled size=10 color=black);
dropline x=weight y=height/ dropto=y lineattrs=(color=black);
run;

[dustychair]

Thank you @Ksharp ,

This code works but this is based on data. I'd like to draw the graph with percentiles (P5 P10 P20 P30 P40 P50). Is it possible to do that?

[dustychair]

Hi @Ksharp again,

I calculated percentiles in excel and applied your code on the new file. Here is the graph. Do you think there is a way to connect the arrows. There is some space between arrows? 

Thanks

[Ksharp]

Add one more statement,

Or try VECTOR .

Or try HIGHLOW .

proc sgplot data=x;

series  x=weight y=height ;

scatter x=weight y=height/ markerattrs=(symbol=trianglefilled size=10 color=black);
dropline x=weight y=height/ dropto=x lineattrs=(color=black);

scatter x=x1 y=height/ markerattrs=(symbol=triangleleftfilled size=10 color=black);
dropline x=weight y=height/ dropto=y lineattrs=(color=black);
run;

[dustychair]

Thank you so much @Ksharp . Here is how the new graph looks.. The arrows look good now, the only thing is x and y values' labels. As seen in the first post the y and x values are '5th', '10th' etc. but in my graph I have the exact values. If there is no way to change, then I will just provide this graph.

[Ksharp]

Using option 'values' of xaxis. to display 5th instead of 100 .

proc sgplot data=x;
scatter x=weight y=height/ markerattrs=(symbol=trianglefilled size=10 color=black);
dropline x=weight y=height/ dropto=x lineattrs=(color=black);

scatter x=x1 y=height/ markerattrs=(symbol=triangleleftfilled size=10 color=black);
dropline x=weight y=height/ dropto=y lineattrs=(color=black);

xaxis values=('5th' '10th' ............ ) ;
run;

[Rick_SAS]

An example (without the arrows) is shown in the article "Fit a distribution from quantiles," which includes the SAS code to create it. 

As mentioned by others, you can use the VECTOR statement if arrows are essential.

[Reeza · Accepted solution]

This gets you a bit closer, but not all the way there. For the final 'finish' you can create the labels needed for your graph using a format to map your values to a specific label. Not sure why it's not working here but it's pretty straightforward.

*create sample data;
data demo;
do i=1 to 100;
paper_scores = rand('normal', 40, 5);
online_scores = rand('normal', 60, 8);
output;
end;
run;

*get percentiles for graph;
ods select none;
proc means data=demo min p10 p20 p30 p40 p50 p60 p70 p80 p90 max stackods;
var paper_scores online_scores;
ods output summary = ss;
run;
ods select all;


*transpose to a different structure to support graphing;
proc transpose data=ss out=ss_long;
id variable;
run;


data ss_long;
set ss_long;
*clean up statistics names;
name = substr(_name_, 1, length(_name_) - 4);

*rename values;
if _label_ = 'Maximum' then percentile = 100;
else if _label_ = 'Minimum' then percentile = 0;
else percentile = input(compress(_label_, , 'kd'), 8.);

*calculate arrow start and end for each plot;

*You probably don't need this step but it just makes the next steps easier;
arrow_up_start_x = paper_scores;
arrow_up_start_y = 0;
arrow_up_end_x = paper_scores;
arrow_up_end_y = online_scores;

arrow_left_start_x = paper_scores;
arrow_left_start_y = online_scores;
arrow_left_end_x = 0;
arrow_left_end_y = online_scores;
run;


proc sort data=ss_long;
by percentile name;
run;

*create formats to customize labels;
data x_format;
set ss_long;
start = paper_scores;
label = percentile;
type = 'N';
fmtname = 'xaxis_fmt';
run;

data y_format;
set ss_long;
start = online_scores;
label = percentile;
type = 'N';
fmtname = 'yaxis_fmt';
run;

proc format cntlin=x_Format;
run;

proc format cntlin=y_Format;
run;

*create graph;
proc sgplot data=ss_long noautolegend;
spline x=paper_scores y = online_scores;
vector x=arrow_up_end_x y=arrow_up_end_y / xorigin = arrow_up_start_x yorigin = arrow_up_start_y;
vector x=arrow_left_end_x y=arrow_left_end_y / xorigin = arrow_left_start_x yorigin = arrow_left_start_y;

xaxis label = 'Paper Scores'  valuesformat = xaxis_fmt. min=0;
yaxis label = 'Online Scores' valuesformat = yaxis_fmt.  min=0;
run;

[dustychair]

Thank you so much @Reeza  and @Ksharp 

Best,