r - ggplot2 following layer removing previous layer -


when add layer ggplot graph, previous layer settings disappear. keep size of chart points, when add layer change background of plot, point sizes removed.

code plot:

p <- ggplot(a,aes(zip, perc)) + geom_point()  p <- p + labs(x = "zip code", y = "percent penetration") +            labs(title = "zip code tier a")  p + geom_point(aes(size = zgrp))  p + theme(panel.background = element_rect(fill = "ivory")) 

data:

     zip    cgrp zgrp    perc    1: 12007    4   15 48.387097    2: 12008    4   25 41.666667    3: 12009    4  956 52.643172    4: 12010    4 1047 30.025810    5: 12018    4  859 49.113779    6: 12019    4  838 54.380273    7: 12020    4 1233 43.126967    8: 12022    4   37 34.579439    9: 12023    4  225 47.669492   10: 12027    4  139 50.180505   11: 12028    4   35 46.052632   12: 12033    4 1062 48.559671   13: 12041    4   47 42.342342   14: 12046    4   55 43.650794   15: 12047    4 1282 36.807350   16: 12052    4  118 45.914397   17: 12053    4  362 49.118046   18: 12054    4 1818 59.743674   19: 12055    4    2 50.000000   20: 12056    4  117 45.703125   21: 12057    4    9 19.565217   22: 12059    4  198 55.153203   23: 12061    4 1239 53.084833   24: 12062    4  176 41.805226   25: 12065    4 2829 48.483290   26: 12066    4  101 46.976744   27: 12067    4  156 45.086705   28: 12074    4  105 47.085202   29: 12077    4  644 57.295374   30: 12083    4  144 43.243243   31: 12084    4  328 43.328930   32: 12090    4  121 41.296928   33: 12094    4  136 38.746439   34: 12110    4 1703 49.219653   35: 12118    4  830 38.712687   36: 12120    4   21 39.622642   37: 12121    4  155 52.364865   38: 12122    4   90 32.490975   39: 12123    4  564 43.251534   40: 12130    4   86 42.156863   41: 12134    4   62 43.055556   42: 12137    4   92 42.396313   43: 12138    4  161 42.368421   44: 12140    4  173 51.335312   45: 12143    4  364 37.371663   46: 12144    4 2172 38.903815   47: 12147    4   32 48.484848   48: 12148    4  279 61.184211   49: 12150    4   38 40.000000   50: 12151    4   47 52.808989   51: 12153    4  115 63.535912   52: 12154    4  161 43.869210   53: 12156    4   97 48.743719   54: 12158    4  621 44.230769   55: 12159    4  861 63.636364   56: 12168    4  118 51.754386   57: 12169    4   19 35.185185   58: 12180    4 3095 31.630046   59: 12182    4  762 31.500620   60: 12183    4  113 23.541667   61: 12185    4  118 44.528302   62: 12186    4  738 57.927786   63: 12189    4 1122 32.682785   64: 12193    4  148 40.326975   65: 12196    4  370 53.237410   66: 12198    4  801 48.871263   67: 12202    4  301 10.591133   68: 12203    4 2542 45.950832   69: 12204    4  474 26.779661   70: 12205    4 2483 42.928769   71: 12206    4  543 14.056433   72: 12207    4   41 10.049020   73: 12208    4 1693 38.600091   74: 12209    4  763 27.785870   75: 12210    4  469 19.380165   76: 12211    4 1028 57.174638   77: 12302    4 1140 44.618395   78: 12303    4 1850 41.931097   79: 12304    4  938 26.370537   80: 12305    4   98 12.911726   81: 12306    4 1140 37.475345   82: 12307    4   68  4.822695   83: 12308    4  346 17.918177   84: 12309    4 1776 51.270208   85: 12469    4   16 37.209302   


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