I have a data.frame like this:
library(ggplot2)
library(reshape2)
tasks <- c("Review literature", "Mung data")
dfr <- data.frame(
name = factor(tasks, levels = tasks),
start.date = c("24/08/2010 01:00:01", "24/08/2010 01:00:10", "01/11/2010 01:30:00", "01/11/2010 02:00:00"),
end.date = c("24/08/2010 02:00:00", "24/08/2010 03:00:00", "01/11/2010 02:00:00", "01/11/2010 04:00:00")
)
mdfr <- melt(dfr, measure.vars = c("start.date", "end.date"))
I would like to plot this data using ggplot2 so that different dates are on different facets and only time portion is show on x-axis? I tried something like:
ggplot(mdfr, aes(as.Date(value, "%H/%M/%S"), name)) +
geom_line(size = 6) +
xlab("") + ylab("") +
theme_bw() + facet_wrap(~as.Date(value, "%d/%m/%Y"))
Error in layout_base(data, vars, drop = drop) :
At least one layer must contain all variables used for facetting
Added to your melted data frame two new columns value2 and date. value2 is POSIXct class of your times and date column contains just date part of your original value and converted to factor to use for faceting.
mdfr$value2<-as.POSIXct(strptime(mdfr$value, "%d/%m/%Y %H:%M:%S"))
mdfr$date<-as.factor(as.Date(strptime(mdfr$value, "%d/%m/%Y %H:%M:%S")))
Now you can use new value2 as x and date for facetting. I used facet_grid() with scales="free_x" and space="free_x" to get evenly spaced time intervals in both facets.
ggplot(mdfr, aes(value2, name)) +
geom_line(size = 6) +
xlab("") + ylab("") +
theme_bw() + facet_grid(~date,scales="free_x",space="free_x")
Related
How do I plot each year as a separate line in ggplot2 I tried the below code but it seems to plot continuous as a single plot.
library(ggplot2)
# Dummy data
data <- data.frame(
Date = c(as.Date("2017-01-14") - 0:13,as.Date("2016-01-14") - 0:13),
value = runif(28)
)
#data$Date <- strptime(data$Date, "%Y-%m-%d" )
data$Year <- as.character(year(data$Date))
data$Year <- factor(data$Year)
ggplot(data) + geom_line(aes(x = Date, y = value, group=Year, color=Year)) +
scale_x_date(date_breaks = "1 day", date_labels = "%d-%m-%y") +
theme(axis.text.x = element_text(angle = 90))
But I want each year to be a separate graph in the same plot.
something like below
Try this approach formating day and month in your date. You got a mess in your plot because of the different year in your date variable. Setting format can help you. Here the code:
library(ggplot2)
library(lubridate)
# Dummy data
data <- data.frame(
Date = c(as.Date("2017-01-14") - 0:13,as.Date("2016-01-14") - 0:13),
value = runif(28)
)
data$Year <- as.character(year(data$Date))
data$Year <- factor(data$Year)
#Format month
data$MonthDay <- format(data$Date,'%b-%d')
#Plot
ggplot(data) + geom_line(aes(x = MonthDay, y = value, group=Year, color=Year)) +
theme_bw()+
theme(axis.text.x = element_text(angle = 90))
Output:
I have measurement data from the past months:
Variables
x <- df$DatoTid
y <- df$Partikler
color <- df$Opgave
I'm trying to plot my data based on the timestamp, so that I have the hours of the day in the x-axis, instead of the specific POSIXct datetime.
I would like the labels and ticks of the x-axis to be fx "00:00", "01:00",..."24:00".
So that noon is in the middle of the x-axis.
So far I tried to convert the datetime values into characters.
Doesn't look good yet (as you can see the axis ticks and labels are gone. Possibly other things are wrong as well).
Can someone help me?
And please let me know how to upload the data for you. I don't know how to add a huge .csv-file....
# Rounding up to nearest 10 min:
head(df)
df$Tid2 <- format(strptime("1970-01-01", "%Y-%m-%d", tz="CET") +
round(as.numeric(df$DatoTid)/300)*300 + 3600, "%Y-%m-%d %H:%M:%S")
head(df)
df$Tid2 <- as.character(df$Tid2)
str(df)
x <- df$Tid2
y <- df$Partikler
color <- df$Opgave
plot2 <- ggplot(data = df, aes(x = x, y = y, color = color)) +
geom_point(shape=16, alpha=0.6, size=1.8) +
scale_y_continuous(labels=function(x) format(x, big.mark = ".", decimal.mark = ",", scientific = FALSE)) +
scale_x_discrete(breaks=c("00:00:00", "06:00:00", "09:00:00", "12:00:00", "18:00:00", "21:00:00")) +
scale_color_discrete(name = "Case") +
xlab(" ") +
ylab(expression(paste("Partikelkoncentration [pt/cc]"))) +
myTheme +
theme(legend.text=element_text(size=8), legend.title=element_text(size=8))
plot2
I would approach this by making a new time stamp that uses a single day, but the hours/minutes/seconds of your existing time stamp.
First, here's a made-up version of your data, here using a linear trend in Partikler:
library(tidyverse); library(lubridate)
df <- data_frame(Tid2 = seq.POSIXt(from = ymd_h(2019010100),
to = ymd_h(2019011500), by = 60*60),
Partikler = seq(from = 0, to = 2.5E5, along.with = Tid2),
Opgave = as.factor(floor_date(Tid2, "3 days")))
# Here's a plot that's structurally similar to yours:
ggplot(df, aes(Tid2, Partikler, col = Opgave)) +
geom_point() +
scale_color_discrete(name = "Case")
Now, if we change the timestamps to be in the same day, we can control them like usual in ggplot, but with them collapsed into a single day of timing. We can also change the x axis so it doesn't mention the date component of the time stamp:
df2 <- df %>%
mutate(Tid2_sameday = ymd_hms(paste(Sys.Date(),
hour(Tid2), minute(Tid2), second(Tid2))))
ggplot(df2, aes(Tid2_sameday, Partikler, col = Opgave)) +
geom_point() +
scale_color_discrete(name = "Case") +
scale_x_datetime(date_labels = "%H:%M")
I am using the following data frame in R
TIME PRICE
2013-01-01 23:55:03 446.6167
2013-01-01 23:55:02 441.0114
2013-01-01 23:54:59 446.7600
I am using function ggplot to plot the data points and label fixed intervals using scale_x_datetime.
library(ggplot2) # including necessary libraries
lims <- as.POSIXct(strptime(c("2013-01-01 00:00:00","2013-01-01 23:59:00"), format = "%Y-%m-%d %H:%M:%S"))
ggplot(open,aes(x=TIME,y=PRICE))
+ geom_point(size = 1.0, color="navy")
+ xlab("Time")
+ ylab("Price")
+ ggtitle("time vs Price ")
+ scale_x_datetime(breaks = date_breaks("200 min"), minor_breaks=date_breaks("15 min"), labels=date_format("%H:%M:%S"),limits=lims)
Despite specifying the limits, the x axis labels are not in order as shown beneath:
You need to put as.POSIXct(TIME) in you aes like so. I had to change your code a bit to fit your limited 3-point data example.
open <- read.table(text="TIME PRICE
'2013-01-01 23:55:03' 446.6167
'2013-01-01 23:55:02' 441.0114
'2013-01-01 23:54:59' 446.7600",header=TRUE, stringsAsFactors=FALSE)
lims <- as.POSIXct(strptime(c("2013-01-01 00:00:00","2013-01-01 23:59:00"),
format = "%Y-%m-%d %H:%M:%S"))
ggplot(open,aes(x=as.POSIXct(TIME),y=PRICE)) +
geom_point(size = 3.0, color="red")+
xlab("Time")+
ylab("Price")+
ggtitle("time vs Price ")+
scale_x_datetime(breaks = date_breaks("360 min"),
minor_breaks=date_breaks("15 min"),
labels=date_format("%H:%M:%S"),limits=lims)
EDIT
You should try to use xts to transform your data in a time series object. This will order the time correctly. Then, you fortify it to use with ggplot2.
library(xts)
open <- read.table(text="TIME PRICE
'2013-01-01 23:55:03' 446.6167
'2013-01-01 23:55:02' 441.0114
'2013-01-01 23:54:59' 446.7600",header=TRUE, stringsAsFactors=FALSE)
open <- xts(open$PRICE,as.POSIXct(open$TIME))
open <- fortify(open)
lims <- as.POSIXct(strptime(c("2013-01-01 00:00:00","2013-01-01 23:59:00"),
format = "%Y-%m-%d %H:%M:%S"))
ggplot(open,aes(x=Index,y=open)) +
geom_point(size = 3.0, color="green")+
xlab("Time")+
ylab("Price")+
ggtitle("time vs Price ")+
scale_x_datetime(breaks = date_breaks("360 min"),
minor_breaks=date_breaks("15 min"),
labels=date_format("%H:%M:%S"),limits=lims)
I would use lubridate:
library(data.table)
library(lubridate)
library(ggplot2)
time<-seq(ymd_hms('2013-01-01 00:00:01'),ymd_hms('2013-01-02 23:59:59'), by = '1 min')
price<-sample(length(time))
dt<-data.table(time,price)
ggplot(dt,aes(x=time,y=price)) + geom_point(size = 1.0, color="navy") + xlab("Time") + ylab("Price") + ggtitle("time vs Price ")
resulting in:
I want to set bounds for the x-axis for a plot of time-series data which features only time (no dates). My limits are:
lims <- strptime(c("03:00","16:00"), format = "%H:%M")
And my ggplot prints fine, but when I add this to scale_x_datetime
scale_x_datetime(limits = lims)
I get Error: Invalid input: time_trans works with objects of class POSIXct only
Fully reproducible example courtesy of How to create a time scatterplot with R?
dates <- as.POSIXct(as.Date("2011/01/01") + sample(0:365, 100, replace=TRUE))
times <- as.POSIXct(runif(100, 0, 24*60*60), origin="2011/01/01")
df <- data.frame(
dates = dates,
times = times
)
lims <- strptime(c("04:00","16:00"), format = "%H:%M")
library(scales)
library(ggplot2)
ggplot(df, aes(x=dates, y=times)) +
geom_point() +
scale_y_datetime(limits = lims, breaks=date_breaks("4 hour"), labels=date_format("%H:%M")) +
theme(axis.text.x=element_text(angle=90))
the error message says that you should use as.POSIXct on lims.
You also need to add the date (year, month and day) in lims, because by default it will be `2015, which is off limits.
lims <- as.POSIXct(strptime(c("2011-01-01 03:00","2011-01-01 16:00"), format = "%Y-%m-%d %H:%M"))
ggplot(df, aes(x=dates, y=times)) +
geom_point() +
scale_y_datetime(limits =lims, breaks=date_breaks("4 hour"), labels=date_format("%H:%M"))+
theme(axis.text.x=element_text(angle=90))
I want to make a horizontal bar chart with dates on the x axis using ggplot. Here is the code I have:
df <- data.frame(patient= c('Harry','John'), pain_date = c( as.POSIXct('13-04-2000', format = '%d-%m-%Y'), as.POSIXct('12-02-2000', format = '%d-%m-%Y') ), agony_date = c(as.POSIXct('25-05-2000', format = '%d-%m-%Y'),as.POSIXct('21-05-2000', format = '%d-%m-%Y')), death_date = c(as.POSIXct('30-06-2000', format = '%d-%m-%Y'), as.POSIXct('23-11-2000', format = '%d-%m-%Y')))
ggplot(df, aes(x=patient)) +
geom_linerange(aes(ymin=pain_date, ymax=agony_date), color="red", size=5) +
geom_linerange(aes(ymin=agony_date, ymax=death_date), color="black", size=5) +
coord_flip()
The question is how to fix the limit from JAN to DEC and how to put a tick at every first day of a month?
I've tried several things like:
scale_x_datetime(major="months")
scale_x_datetime(lim = c(as.POSIXct("01-01-2000"), as.POSIXct("31-12-2000")))
but it gives me the following error message:
Erreur : Invalid input: date_trans works with objects of class Date only
Thanks for your help
Summarizing the comments above, your code should look something like this:
require(scales)
df[, "pain_date"] <- as.Date(df[, "pain_date"])
df[, "agony_date"] <- as.Date(df[, "agony_date"])
df[, "death_date"] <- as.Date(df[, "death_date"])
ggplot(df, aes(x=patient)) +
geom_linerange(aes(ymin=pain_date, ymax=agony_date), color="red", size=5) +
geom_linerange(aes(ymin=agony_date, ymax=death_date), color="black", size=5) +
coord_flip() + scale_y_date(lim = c(as.Date("2000-01-01"), as.Date("2000-12-31")),
breaks=date_breaks(width = "1 month"))