I have the following data:
structure(list(Time = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L,
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L,
8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L), Type = c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L,
1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L,
2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L,
3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L,
1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L,
2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L,
3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L,
1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L), Value = c(848565.34,
1463110.61, 626673.64, 277708.41, 841422.11, 956238.14, 461092.16,
208703.75, 800837.48, 1356164.25, 549509.34, 300241.53, 851247.9714,
1353358.318, 598536.5948, 307485.0918, 332042.2275, 666157.8721,
194981.1566, 79344.50328, 831003.6952, 1111311.517, 521632.3074,
274384.1731, 1174671.569, 1070301.745, 454876.1589, 351973.2418,
5631710.101, 279394.6061, 119034.4969, 39693.31587, 1166869.32,
1156855.09, 369816.8152, 274092.5751, 924474.1129, 975028.0207,
449213.7419, 213855.3067, 1967188.317, 178841.604, 43692.69319,
12493.90538, 835142.6168, 876273.4462, 354154.644, 182794.3813,
1158096.251, 998647.6908, 566726.9865, 195099.4295, 1798902.332,
171519.4741, 81644.02724, 12221.41779, 1301775.314, 920464.9992,
294140.4882, 175626.9677, 2179780.499, 1838687.535, 978775.2674,
366668.3462, 5385970.324, 177527.1577, 65310.32674, 5986.871716,
2250834.171, 1547858.632, 666444.2992, 251767.3006, 1786086.335,
1597055.451, 563976.9719, 309186.1626, 487105.824, 279712.1658,
86471.46603, 24434.05486, 1563940.414, 1409428.038, 531425.682,
257056.5524, 1685501.271, 1371943.438, 881348.5022, 313355.8284,
170771.9118, 155596.7479, 59881.60825, 12090.57989, 1668571.543,
1150257.058, 563054.758, 306767.0344, 2214849.859, 1724719.891,
822092.2031, 443194.4609, 8897796.235, 87491.42925, 10699.30103,
18131.89738, 2137240.993, 1476873.778, 741685.9913, 549539.9735,
1362085.657, 1266106.09, 448653.8889, 278236.8416, 1671665.39,
95239.07396, 54173.57043, 10125.82011, 1335200.152, 1167824.903,
426738.1845, 261255.2092)), .Names = c("Time", "Type", "Value"
), row.names = c(NA, -120L), class = "data.frame")
I am trying to plot a stacked bar graph that looks like this:
I know that adding position="identity"
or position="dodge"
produces different types of bar plots but am not sure how to produce the above chart with both types. Any suggestions?
ggplot(df, aes(x = factor(Time), y = Value, fill = factor(Type))) +
geom_bar(stat="identity", position = "stack")
ggplot(df, aes(x = factor(Time), y = Value, fill = factor(Type))) +
geom_bar(stat="identity", position = "dodge")
You can do one or the other but not both. When they are dodged
, the different values of type are being used. By adding a color outline, you can see that.
ggplot(df, aes(x = factor(Time), y = Value, fill = factor(Type))) +
geom_bar(stat="identity", position = c("dodge"), colour = 'black')
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