rendered paste bodytmp <- structure(list(region = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L,
3L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L
), .Label = c("low", "med", "high", "very high"), class = "factor"),
score = c(0.000330817941946689, 0.000330814572131421, 0.000330813096794777,
0.0184035803886206, 0.000330809732279772, 0.000330809054225187,
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0.00033079587798417, 0.000347972956081023, 0.000330784135783439,
0.000330783942857776, 0.00035736550178882, 0.00033077572382327,
0.000330771325721773, 0.000330766811381897, 0.000330743387767863,
0.000347969974549052, 0.000330733613025948, 0.00033072643055787,
0.000330717958434343, 0.000330706865556737, 0.000330692976641991,
0.000330690452592649, 0.000330689182352441, 0.000330686941810988,
0.000330685068583934, 0.000330679986163012, 0.000330674030532025,
0.000330670347913159, 0.000330663881576837, 0.000330652077289711,
0.000330642917527412, 0.000330634746006998, 0.00033062433580989,
0.000330616853282681, 0.000330584746534516, 0.00033057092821048,
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0.000330755337645701, 0.000330755161018401, 0.000330753201559984,
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0.000330711253756649, 0.000330698195873204, 0.000330697937663785,
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0.00033065498314216, 0.000335412662484213, 0.00033064266809479,
0.000330631818330102, 0.00033062997679067, 0.499999757624541,
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0.000330732737930386, 0.000330731530374021, 0.000330730318514067,
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0.000330701958731649, 0.000330675329648002, 0.000330672296876852,
0.000330671421141633, 0.00033066574883109, 0.000330663999089839,
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0.000330546261733999, 0.00033052632997806, 0.00033052219073426,
0.000347963792153294, 0.000330502859560781, 0.000330495591060841,
0.000330471736025729, 0.00033045935888109, 0.000330433264421005,
0.000330419509789096, 0.000330408835991159, 0.000330404659337401,
0.000330393590473671, 0.000347960206410788, 0.000330319469688863,
0.000330307948544531, 0.000330287016256827, 0.000330275216133805,
0.000330210176900162, 0.000330207698902529, 0.000330206457813288,
0.000330201485752254, 0.000330195239835967, 0.000330077286720382,
0.000330042052417811, 0.000330031948736036, 0.000329987784540666,
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0.000329759438397032, 0.000329725093321033, 0.000329697784992598,
0.000329670176624901, 0.000329655151642809, 0.000329604084426925,
0.000329583356364262, 0.000329449289606756, 0.000329327972324552,
0.000329248418960583, 0.000329244865648787), s = c(3L, 3L,
3L, 184L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 4999L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
535L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1633L, 3L, 3L, 3L,
3L, 3L, 3L, 24L, 3L, 3L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 11L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 2158L, 4999L, 4999L, 3L, 3L, 3L, 3L, 3L, 4999L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 32L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 2028L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 9999L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
9996L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 1594L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 4999L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 1199L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1001L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 5L, 3L, 4999L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 2081L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L)), .Names = c("region", "score", "s"), row.names = c(NA,
407L), class = "data.frame")
library(ggplot2)
plt <- ggplot(tmp, aes(region, score))
plt1 <- plt + geom_violin(aes(region, score), scale='width', trim=F) + ylim(0, 1) + ggtitle('with ylim')
plt2 <- plt + geom_violin(aes(region, score), scale='width', trim=F) + ggtitle('without ylim')