Change colors of each histogram in correlation and phenotypic distribution plot

Question

[waqaskhokhar999]

I have generated a correlation and phenotypic distribution plot using "psych" library in R.

Code I have used:

library(psych)
pairs.panels(data_seedsize,
         smooth = T,      # If TRUE, draws loess smooths
         scale = F,      # If TRUE, scales the correlation text font
         density = TRUE,     # If TRUE, adds density plots and histograms
         ellipses = T,    # If TRUE, draws ellipses
         method = "pearson", # Correlation method (also "spearman" or "kendall")
         pch = 21,           # pch symbol
         bg =c("#3C875F", "#3C875F", "#3C875F","#3C875F", "#3C875F"),
         lm = F,         # If TRUE, plots linear fit rather than the LOESS (smoothed) fit
         cor = TRUE,         # If TRUE, reports correlations
         jiggle = F,     # If TRUE, data points are jittered
         factor = 2,         # Jittering factor
         hist.col = c("#3C875F", "#3C875F", "#3C875F","#3C875F", "#3C875F"),       # Histograms color
         hist.legend = "topleft",
         stars = TRUE,       # If TRUE, adds significance level with stars
         ci = T)          # If TRUE, adds confidence intervals

And it generated following

I am interested to represent each trait with different color in the histogram, i.e separate color to W_CVARS, W_GH, W_Field, Length, width and density. I have tried to modify hist.col = c("#ff0000", "#627031", "#efb02d","#b59642", "#3C875F","#889b3b") but instead of changing the complete histogram it only change one bar