heatplot spearman correlation, colours

[Adela Kralova]

Hello, does anyone know how to change the colour palette for heatplot so Stata uses shades of blue for negative correlations, shades of red for positive correlations, and 0 = white? I am now using

color(hcl blured)

but it drives me crazy that 0 is not assigned to white, aka the cutoff between red and blue.

Thank you!

en touse = !missing(SWLS, Sleepquality, Sleepduration, Sleephygiene, Bedtimeprocrastination, Age, Education, EmploymentStatus, Income, LivingSituation, Nightshift, Kids)

foreach v in SWLS Sleepquality Sleepduration Sleephygiene Bedtimeprocrastination Age Education EmploymentStatus Income LivingSituation Nightshift Kids {
   egen rank_`v'  = rank(`v') if touse
}

pwcorr rank_SWLS rank_Sleepquality rank_Sleepduration rank_Sleephygiene rank_Bedtimeprocrastination rank_Age rank_Education rank_EmploymentStatus rank_Income rank_LivingSituation rank_Nightshift rank_Kids, sig
matrix C = r(C)
matrix sig = r(sig)
heatplot C, values(label(sig)) lower nodraw nodiagonal generate
gen str lab = string(_Z, "%4.3f") + ///
    cond(_Mlab<.001, "***", cond(_Mlab<.01, "**", cond(_Mlab<.05, "*", "")))

heatplot C, color(hcl bluered) lower aspectratio(1) xlabel(, labsize(tiny) angle(45)) ylabel(, labsize(tiny))  nodiagonal ///
    addplot(scatter _Y _X, msymbol(i) mlab(lab) mlabpos(0) mlabcolor(black) mlabsize(tiny))

[Nick Cox]

It's fine to start a new thread with a precise and different question, but you should give a cross-reference to the old thread and post a diversion notice.

https://www.statalist.org/forums/for...an-correlation

As said there I can't recollect using heatplot so I could only answer this by reading the help file and experimenting with option choices. Someone ellse may have a quick answer.

I wrote a corrtable in this territory a while back for a friend. I don't use it myself. It was written long before heatplot and has only loosely similar goals. You may want to have a quick look. It's on SSC.

[Andrew Musau]

As always, you will increase your chances of getting helpful replies by enclosing a reproducible example. See FAQ Advice #12 for details.