Hola Felix,
puedes combinar los datos en un único data.frame y luego hacer todos
los boxplot en un mismo gráfico:
# Exponential
etiqueta <- c(0.2, 0.4, 0.6, 0.8, 1.0, 1.2, 1.4, 1.6)
datos.exp <- c(
27340, 27829, 27108, 27387, 28059, 28977, 29355, 25977,
28220, 27049, 27324, 28446, 25827, 29820, 25047, 27026,
26104, 25472, 27270, 27202, 27285, 29765, 26624, 29713,
29606, 27165, 29961, 29435, 29600, 28686, 29610, 27341,
29665, 28623, 26970, 29245, 25001, 27048, 28864, 27818,
29869, 29894, 25290, 26908, 27662, 26201, 28540, 29290,
28946, 29653, 28052, 28529, 27008, 28291, 29055, 25062,
28887, 26217, 27476, 27892, 29543, 29935, 29867, 25031,
29105, 28034, 25954, 25088, 29468, 26502, 26834, 25136)
22727, 24635, 23759, 21890, 23044, 24308, 24218, 23927,
20445, 21907, 21092, 20192, 24666, 24868, 24208, 24632,
23864, 23426, 23265, 21213, 22469, 21003, 20774, 23490,
24612, 21134, 23861, 22582, 21314, 20116, 22178, 23332,
24276, 21504, 24045, 24220, 23373, 20273, 22561, 20506,
23039, 23068, 23847, 23768, 22926, 20872, 21294, 20996,
21449, 21920, 20343, 20871, 24014, 22731, 24327, 21055,
23525, 20127, 23735, 23664, 24462, 22306, 22179, 24527,
23402, 20973, 23285, 22096, 24588, 21073, 21506, 20207)
datos <- data.frame(queries=c(datos.exp,datos.gl),
expgl=factor(rep(c("Exp","Glo"),each=72)),
etiq=factor(rep(etiqueta,18)))
boxplot(queries~expgl*etiq, ylab="Number of executed
queries",data=datos)
Jorge
El Monday 11 October 2010 12:49:43 Felix.Villanueva escribió:
0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6
 27340 27829 27108 27387 28059 28977 29355 25977
 28220 27049 27324 28446 25827 29820 25047 27026
 26104 25472 27270 27202 27285 29765 26624 29713
 29606 27165 29961 29435 29600 28686 29610 27341
 29665 28623 26970 29245 25001 27048 28864 27818
 29869 29894 25290 26908 27662 26201 28540 29290
 28946 29653 28052 28529 27008 28291 29055 25062
 28887 26217 27476 27892 29543 29935 29867 25031
 29105 28034 25954 25088 29468 26502 26834 25136
Mientras que el Global.data es igual con distintos valores:
0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6
 22727 24635 23759 21890 23044 24308 24218 23927
 20445 21907 21092 20192 24666 24868 24208 24632
 23864 23426 23265 21213 22469 21003 20774 23490
 24612 21134 23861 22582 21314 20116 22178 23332
 24276 21504 24045 24220 23373 20273 22561 20506
 23039 23068 23847 23768 22926 20872 21294 20996
 21449 21920 20343 20871 24014 22731 24327 21055
 23525 20127 23735 23664 24462 22306 22179 24527
 23402 20973 23285 22096 24588 21073 21506 20207
La idea serÃa comparar ambas series de datos, algo asÃ:
Exponential_frame=read.table("Exponential.data", header =T)
Global_frame=read.table("Global.data", header =T)
par(las=2,cex=1,mar=c(7.2,4,2,2))
boxplot(Exponential_frame, ylab="Number of executed queries",
col="yellow")
boxplot(Global_frame, ylab="Number of executed queries",
col="green", add=TRUE)