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R - ggplot2, multiple questions, multiple correlated graphs

The first question I asked on the stack, and I'm pretty new to R, so please apologize for any etiquette violations. I draw 2 folded area diagrams using ggplot2. The data represents wait events from an Oracle database. This is a performance tuning graph. I have a few questions.

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  • The two graphs below do not match correctly, most likely due to the width of the text in the legend. Is there a simple solution?
  • , , "CPU" "User I/O", . , , , , . , . . 12, , , .
  • X, , , (6 8 ) , .
  • 12 , ? , . , , .

:

library(ggplot2)
library(RColorBrewer)
library(gridExtra)

DF_AAS <- read.csv('http://dl.dropbox.com/u/4131944/Permanent/R-Questions/AAS-Plot/DATA_FRAME_AAS.csv', head=TRUE,sep=",",stringsAsFactors=TRUE)
DF_AAS <- within(DF_AAS, snap_time <- as.POSIXlt(snap_times2,
                                          format = "%Y-%m-%d %H:%M:%S"))
DF_AAS[c('snap_times2')] <- NULL

DF_AAS_EVENT <- read.csv('http://dl.dropbox.com/u/4131944/Permanent/R-Questions/AAS-Plot/DF_AAS_EVENT.csv', head=TRUE,sep=",",stringsAsFactors=TRUE)
DF_AAS_EVENT <- within(DF_AAS_EVENT, snap_time <- as.POSIXlt(snap_times2,
                                                 format = "%Y-%m-%d %H:%M:%S"))
DF_AAS_EVENT[c('snap_times2')] <- NULL

plot_aas_wait_class <- ggplot()+
  geom_area(data=DF_AAS, aes(x = snap_time, y = aas,
                                    fill = wait_class),stat = "identity", position = "stack",alpha=.9)+
                                      scale_fill_brewer(palette="Paired",breaks = sort(levels(DF_AAS$wait_class)))+
                                      scale_y_continuous(breaks = seq(0, max(DF_AAS$aas)+(max(DF_AAS$aas)*.2), 5))+
                                      opts(panel.background = theme_rect(colour = "#aaaaaa"))


plot_aas_event <- ggplot()+
  geom_area(data=DF_AAS_EVENT, aes(x = snap_time, y = aas,
                                   fill = wait_class_event),stat = "identity", position = "stack")+
                                     scale_fill_brewer(palette="Paired",breaks = DF_AAS_EVENT$wait_class_event)+
                                     scale_y_continuous(breaks = seq(0, max(DF_AAS_EVENT$aas)+(max(DF_AAS_EVENT$aas)*.2), 5))+
                                     opts( panel.background = theme_rect(colour = "#aaaaaa"))

grid.arrange(arrangeGrob(plot_aas_wait_class, plot_aas_event),heights=c(1/2,1/2),ncol=1)
+3
1

, :

library(scales)
plot_aas_wait_class <- ggplot()+
  geom_area(data=DF_AAS, aes(x = snap_time, y = aas,fill = wait_class),stat = "identity", position = "stack",alpha=.9)+
  scale_fill_brewer(palette="Paired",breaks = sort(levels(DF_AAS$wait_class)))+
  scale_y_continuous(breaks = seq(0, max(DF_AAS$aas)+(max(DF_AAS$aas)*.2), 5))+
  opts(panel.background = theme_rect(colour = "#aaaaaa")) +  
  opts(legend.position = "bottom",legend.direction = "horizontal") + 
  guides(fill = guide_legend(nrow = 2))

plot_aas_event <- ggplot()+
  geom_area(data=DF_AAS_EVENT, aes(x = snap_time, y = aas,fill = wait_class_event),stat = "identity", position = "stack")+
  scale_fill_brewer(palette="Paired",breaks = DF_AAS_EVENT$wait_class_event)+
  scale_y_continuous(breaks = seq(0, max(DF_AAS_EVENT$aas)+(max(DF_AAS_EVENT$aas)*.2), 5))+
  opts( panel.background = theme_rect(colour = "#aaaaaa")) +  
  opts(legend.position = "bottom",legend.direction = "horizontal") + 
  guides(fill = guide_legend(ncol = 2))


grid.arrange(arrangeGrob(plot_aas_wait_class, plot_aas_event),heights=c(1/2,1/2),ncol=1)

x, - :

+ scale_x_datetime(breaks = date_breaks("2 hours"))

, .

geom_rect alpha = 0.25 - . ( Inf -Inf y), geom_rect.

+1

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