Displaying 7 results from an estimated 7 matches for "scale_x_datetime".
2009 Dec 14
0
ggplot : scale_x_datetime issues
Dear R users,
My immediate problem is that I do not seem to understand how to use the function scale_x_datetime function in ggplot. My deeper problem is that I don?t understand the use of the POSIXct class.
?
My data looks like like the following :
T????????? val
2009-11-04 23:59:57?? 972.357117????
2009-11-05 00:02:21?? 969.389221????
2009-11-05 00:04:45?? 868.817749????
2009-11-05 00:07:09?? 805.593079?...
2011 Feb 10
1
Ggplot: free x-scales in a facet-grid
...s the problem. The most data are between the periode 01/12/2010 and
31/01/2011. But there are some outliers, going back to 2003.
Now I would like to split the plot in 2 (based on the index 'pos', split
date = 01/12/2010), so the left part of the plot are the time values before
this date (scale_x_datetime major = 1 year), and the right part of the plot
are the time values after this date (scale_x_datetime major=1 day).
Hereby also the R-code (simplified):
ggplot(data_plot.melt,aes(timevalue,ID)) +
geom_point(aes(groups=timetype,colour=timetype,shape=timetype)) +
facet_grid(type ~pos,scales="f...
2016 Sep 06
2
Ayuda con gráfico típico de histograma más linea
...ot;)
> ft$Miles <- as.numeric(gsub("\\.", "", as.character(ft$Miles)))
> ft$Share <- as.numeric(gsub("\\,", ".", as.character(ft$Share)))
>
> ggbar <- ggplot(ft, aes(x = hora, y = frec)) +
> geom_area(fill= "gray") +
> scale_x_datetime(date_breaks = "5 mins", date_labels = "%H:%M") +
> theme(panel.background = element_rect(fill = "white")) +
> scale_y_continuous(limits=c(0,1500)) +
> labs(x = "Minutos", y = "Tweets") + # Etiquetas o títulos de los ejes
> theme(...
2016 Sep 03
2
Ayuda con gráfico típico de histograma más linea
...eader = T, sep = ";", dec = ",")
> datos$Miles <- as.numeric(gsub("\\.", "", as.character(datos$Miles)))
>
> datos$hora <- strptime(datos$hora, format = "%H:%M")
>
> ggplot(datos, aes(x = hora, y = Miles)) + geom_line() +
> scale_x_datetime(date_breaks = "15 mins", date_labels = "%H:%M")
>
>
> Además, en aes no hay que hacer referencia a la tabla. Expresiones como
>
> ggplot(datos, aes(x = datos$hora, y = datos$Miles)) + ...
>
> son innecesariamente redundantes.
>
> Salud,
>
> Carlo...
2010 Nov 19
0
Ggplot and irregular timeseries
...dex(rets))%in%c('Saturday','Sunday'),]
rets.m<-data.frame(index(rets),rets,check.names=F)
colnames(rets.m)<-c('Date','Rets')
rets.m<-melt(rets.m,id.vars=c('Date','Rets'))
ggplot(data=rets.m,aes(Date,Rets))+geom_bar(stat="identity")+scale_x_datetime(major
= freqprint, format='%m/%d')
Thanks in advance for your help/patience and my bad English.
Kind regards,
Alex
2016 Sep 03
2
Ayuda con gráfico típico de histograma más linea
...t;Downloads/pec.csv", header = T, sep = ";", dec = ",")
datos$Miles <- as.numeric(gsub("\\.", "", as.character(datos$Miles)))
datos$hora <- strptime(datos$hora, format = "%H:%M")
ggplot(datos, aes(x = hora, y = Miles)) + geom_line() +
scale_x_datetime(date_breaks = "15 mins", date_labels = "%H:%M")
Además, en aes no hay que hacer referencia a la tabla. Expresiones como
ggplot(datos, aes(x = datos$hora, y = datos$Miles)) + ...
son innecesariamente redundantes.
Salud,
Carlos J. Gil Bellosta
http://www.datanalytics.com
El...
2016 Sep 02
2
Ayuda con gráfico típico de histograma más linea
Y bueno, algo más bonito sí que queda con ggplot...
#---------------
datIn <- read.csv("pec.csv", header = TRUE, sep = ";", dec = ",")
library(ggplot2)
lab_x_idx <- c(1, round(nrow(datIn)/2, 0), nrow(datIn))
lab_x <- as.vector(datIn$hora[ lab_x_idx])
fre_gg <- ggplot( datIn, aes( x = 1:nrow(datIn), y = frec)) +
geom_bar(stat =