Dear ggplotters,
i found a kind of an akward behaviour in ggplot's legends. When comparing my two plots (code below), the order of the both legends is reversed (instrument top/bottom), although the only difference between both plots is that the text is shorter. Is there any way to fix the order of legends? Thanks in advance, Hans
Depr_data = structure(list(ProbandenCode = c(1013L, 1016L, 1021L, 1035L,
1036L, 1053L, 1055L, 1073L, 1077L, 1082L, 1092L, 1093L, 1096L,
1108L, 1133L, 1142L, 1153L, 1164L, 1171L, 1191L), domain = c("Depression measures",
"Depression measures", "Depression measures", "Depression measures",
"Depression measures", "Depression measures", "Depression measures",
"Depression measures", "Depression measures", "Depression measures",
"Depression measures", "Depression measures", "Depression measures",
"Depression measures", "Depression measures", "Depression measures",
"Depression measures", "Depression measures", "Depression measures",
"Depression measures"), instrument = c("D-CAT", "PHQ-9", "PHQ-9",
"D-CAT", "D-CAT", "PROMIS-D", "PROMIS-D", "PROMIS-D", "HADS-D",
"PROMIS-D", "HADS-D", "HADS-D", "D-CAT", "D-CAT", "PHQ-9", "HADS-D",
"D-CAT", "HADS-D", "D-CAT", "D-CAT"), est = c(64.4771238155766,
30.8535300468852, 86.1683620263858, 56.9560536764661, 52.9707017754472,
60.3676149524244, 53.1275710701918, 75.5248001041676, 71.5627547786529,
61.0422264868669, 24.9100323780759, 52.985966965781, 64.5696460322587,
60.681890071965, 49.8207016657427, 38.8278633094552, 46.7382290718199,
58.0175066560819, 43.4385524728252, 68.5689840678163), se = c(0.184034072822827,
1.41933530902089, 0.472613034782868, 0.220887802652718, 0.291507186158107,
0.226139763742554, 0.390288416473865, 0.212134522793905, 0.437160224580254,
0.218584213055146, 1.78669022732551, 0.596654554899663, 0.202060897282499,
0.212487158847873, 0.549838635745393, 1.0178823356537, 0.447134920850865,
0.52190913376693, 0.541445617353796, 0.207487443977494), CI = c(3.60706782732741,
27.8189720568094, 9.26321548174421, 4.32940093199328, 5.71354084869889,
4.43233936935406, 7.64965296288775, 4.15783664676054, 8.56834040177298,
4.28425057588086, 35.01912845558, 11.6944292760334, 3.96039358673697,
4.1647483134183, 10.7768372606097, 19.9504937788125, 8.76384444867696,
10.2294190218318, 10.6123341001344, 4.06675390195888), Depression = structure(c(1L,
1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L), .Label = c("No Depression", "Depression"), class = "factor"),
Anxiety = structure(c(1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L), .Label = c("No Anxiety Disorder",
"Anxiety Disorder"), class = "factor")), .Names = c("ProbandenCode",
"domain", "instrument", "est", "se", "CI", "Depression", "Anxiety"
), row.names = c(101L, 127L, 167L, 269L, 277L, 416L, 432L, 568L,
598L, 640L, 718L, 726L, 749L, 845L, 1047L, 1118L, 1205L, 1294L,
1349L, 1501L), class = "data.frame")
ggplot(Depr_data, aes(x = est)) +
geom_density(aes(y=..density.. * 300, group = Depression, fill = Depression), alpha = .3) +
scale_fill_grey("Distribution of theta estimates from patients\nwith and without Depression:", start=.6, end = .3) +
geom_line(aes(y = CI, linetype = instrument), size = .75)
ggplot(Depr_data, aes(x = est)) +
geom_density(aes(y=..density.. * 300, group = Depression, fill = Depression), alpha = .3) +
scale_fill_grey("Distribution of theta", start=.6, end = .3) +
geom_line(aes(y = CI, linetype = instrument), size = .75)