I am struggling to customise the jump size on the x-axis in R.
Current code:
par(mfrow = c(2,2))
r.star.ts.sp <- ts(r.star.sp, frequency = 4, start = c(1978,1), end = c(2018, 1))
# Big drop in r* around 123th quarter equivalent to 2008:Q4 / 2009:Q1
trendgrowth.ts.sp <- ts(trendgrowth.sp, frequency = 4, start = c(1978,1), end = c(2018, 1))
plot.ts(r.star.ts.sp,
ylim = c(-3, 4), xlab = " ", ylab = " ", axes = F, col = "blue")
lines(trendgrowth.ts.sp, lty = 2, col = "red")
abline(h = 0, lty = 2)
title(main ="r* and Trend Growth", line = 0.5, font.main = 3)
box()
axis(4)
axis(1)
legend("bottomleft", legend = c("r*", "Trend Growth (g)"),
bty = "n", lty = c(1,2), col = c("blue", "red"), horiz = F, text.col = "black",
cex = 1, pt.cex = .5, inset = c(0.02, 0.02))
# -------------------------------------- #
# Plot output gap and real rate gap
# -------------------------------------- #
outputgap.ts.sp <- ts(outputgap.sp, frequency = 4, start = c(1978,1), end = c(2018, 1))
realrategap.ts.sp <- ts(realrategap.sp, frequency = 4, start = c(1978,1), end = c(2018, 1))
plot.ts(outputgap.ts.sp, ylim = c(-20, 15), xlab=" ", ylab=" ", axes = F, col="blue")
lines(realrategap.ts.sp, lty = 2, col = "red")
abline(h = 0, lty = 2)
legend("topright", legend = c("Output Gap", "Real Rate Gap"),
bty = "n", lty = c(1,2), col = c("blue", "red"), horiz = F, text.col = "black",
cex = 1, pt.cex = .5, inset = c(0.02, 0.02))
title(main = "Output Gap and Real Rate Gap", line = 0.5, font.main = 3)
box()
axis(side = 4)
axis(side = 1)
How would one specify the years on the x-axis from 1975 to 2020 with jumps of 5 years?
Furthermore, (off-topic) I need two plots next to each other, but I feel that par(mfrow = c(2,2)) is not the correct statement. However, changing it into par(mfrow = c(1,2)) creates abnormal large figures.
Thanks!
The OP has requested to specify the years on the x-axis from 1975 to 2020 with jumps of 5 years.
This can be achieved by
axis(1, at = seq(1975L, 2020L, by = 5L))
However, the result may depend on the mfrow parameter. Here is a a dummy example using par(mfrow = c(2, 2)):
Note that the x-axis of the left graph was created by axis(1) while the x-axis of the right graph was created by axis(1, at = seq(1975L, 2020L, by = 5L)). Also note the large white space below the two graphs.
With par(mfrow = c(1, 2)) the result becomes
Here, the right graph shows unlabeled ("minor") tick marks. This is explained in the mfrow section of ?par: In a layout with exactly two rows and columns the base value of "cex" is reduced by a factor of 0.83. So, font size is reduzed by 17% per cent which allows to label all tick marks without overplotting.
Related
Right now on the x-axis it plots numerical variable "1,2,3,4" etc. when instead I want it to graph the game. As you can see in line 85, axis(1,Champ$game) I want the game name on the x-axis, but instead it just numbers the game rather than putting the game name. How do I fix this?
par(mar=c(5, 4, 4, 6) + 0.1)
plot(Champ$daily_max_vel, pch = 16, axes = FALSE, ylim =
c(3.0,3.9),type = "b", col = "black", ylab = "", xlab = "",
main = "Athlete")
##Creates y-axis for graph 1
axis(2, ylim = c(0,1), col = "black", las = 1)
mtext("Velocity (m/s)", side = 2, line = 2.5)
box()
## Allows for second plot on same graph
par(new = TRUE)
#Plotting second graph
plot(Champ$daily_peak_power, pch = 1, xlab = "", ylab = "",
ylim = c(1000,1600), axes = FALSE, type = "b",
col = "orange")
#Creating Second Axis
mtext("Power (W)", side = 4, col = "orange", line = 4)
axis(4,ylim = c(1200,1600), col = "orange", col.axis =
"orange", las = 1)
axis(1,Champ$game)
Using the labels function should do what you are looking for - here is an example of what I think your issue is. If this doesn't work, edit your post to provide your data structure.
# create sample data
df <- data.frame(game = sample(c(1, 2, 3), 150, replace = TRUE),val = rgamma(150, 50))
plot(df)
# label factors
df$game <- factor(df$game, levels = 1:3, labels = c("Game A", "Game B", "Game C"))
# plot
plot(df, axes = F, type = "b")
axis(1, df$game, labels = df$game) # shows game A, game b, game c instead of 1, 2, 3
I am trying to put grids in my barplots, but they appear in front of the data and not in the background. I tried to fix this using
panel.first = grid()
As for the data I am trying to plot, the first column consists of the year numbers (2014-2021) and the second columns are the corresponding values (all vector classes are numeric). When trying to plot using the following code:
par(mfrow=c(1,2))
barplot(mean_trend[,2],names.arg = mean_trend[,1],col="skyblue",ylim = c(0.1,95),cex=0.8,cex.names=0.85,las=2,cex.lab=0.85,lwd=1.5,panel.first = grid())
mtext(side=2,line=2.3, "Average amount in mm", font=2, cex=0.8)
box(lwd=1.5)
barplot(freq_trend[,2],names.arg = freq_trend[,1],col="skyblue",ylim = c(2,4500),cex=0.85,cex.names=0.85,las=2,cex.lab=0.85,lwd=1.5,panel.first = grid())
box(lwd=1.5)
mtext(side=2,line=3.3, "Average flood frequency", font=2, cex=0.8)
I obtain the following result
As you can see, the grid is now behind the plotted data, but exceeds the box/plot limits. How can I fix this?
Kind regards
As you didn't add a data mean_trend - I give an example with other data.
About add and others arguments - you can read ?barplot
# One row, two columns
par(mfrow = c(1, 2))
#PLOT1
barplot(table(mtcars$cyl), main = "PLOT 1", col = c("yellow", "green", "red"), ylim = c(0, 15))
grid(nx = NULL, ny = NULL, lwd = 1, lty = 1, col = "gray")
barplot(table(mtcars$cyl), col = c("yellow", "green", "red"), ylim = c(0, 15), add = TRUE)
#PLOT2
barplot(table(mtcars$cyl), main = "PLOT 2", col = c("yellow", "green", "red"), ylim = c(0, 15))
grid(nx = NULL, ny = NULL, lwd = 1, lty = 1, col = "gray")
barplot(table(mtcars$cyl), col = c("yellow", "green", "red"), ylim = c(0, 15), add = TRUE)
Any tips to remove the zero labels in between the histogram bars?
hist(links$Survey_Duration, breaks = seq(0,50,5), main = "Survey Duration",
labels = TRUE, border = "black",
xlab = "Survey", ylim = c(0, 15), col = "gray", las = 1, xaxt='n')
axis(side=1, at=seq(0,50,5), labels=seq(0,50,5))
abline(v = mean(links$Survey_Duration), col = "royalblue", lwd = 1.5)
abline(v = median(links$Survey_Duration), col = "red", lwd = 1.5)
legend(x = "topright", c("Mean", "Median"), col = c("royalblue","red"),
lwd = c(1.5,1.5))
How about this?
# modify data so there's zero in one of the bins
mtcars$mpg <- ifelse(mtcars$mpg >= 25 & mtcars$mpg <= 30, NA, mtcars$mpg)
# save plot parameters
h <- hist(mtcars$mpg, plot = FALSE)
# produce plot
plot(h, ylim = c(0, 14))
# add labels manually, recoding zeros to nothing
text(h$mids, h$counts + 1, ifelse(h$counts == 0, "", h$counts))
A slightly different answer using the labeling in hist instead of adding text afterwards.
You do not provide your data, so I will use some data that is handy to illustrate.
The labels argument can specify the individual labels
H1 = hist(iris$Sepal.Length, breaks = 3:8, plot=FALSE)
BarLabels = H1$counts
BarLabels[BarLabels == 0] = ""
hist(iris$Sepal.Length, breaks = 3:8, labels = BarLabels)
Thanks #Daniel Anderson, it Ok now (Thumbs Up)
links$Survey_Duration <- ifelse(links$Survey_Duration > 15 &
links$Survey_Duration <= 25,
NA,
links$Survey_Duration)
h <- hist(links$Survey_Duration, breaks = seq(0,50,5), plot = FALSE)
plot(h, ylim = c(0, 14), main = "Survey Duration", xlab = "Time", col = "gray", las = 1)
text(h$mids, h$counts + 1, ifelse(h$counts == 0, "", h$counts))
axis(side=1, at=seq(0,50,5), labels=seq(0,50,5))
abline(v = mean(links$Survey_Duration), col = "royalblue", lwd = 1.5)
abline(v = median(links$Survey_Duration), col = "red", lwd = 1.5)
legend(x = "topright",
c("Mean", "Median"),
col = c("royalblue","red"),
lwd = c(1.5,1.5))
For a customer I'm trying to do a combined barplot and lineplot (with points) with two y axis.
Problem: My bars and points are not aligned.
Background: We have several machines and are measuring their number of on/of switches and the amount of time that each machine is running. We want both information together in one plot to save space, because we have several machines.
The data is aggregated by day or hour. Here's some sample data:
date <- seq(as.Date("2016-10-01"), as.Date("2016-10-10"), "day")
counts <- c(390, 377, 444, NA, NA, NA, NA, 162, 166, 145)
runtime <- c(56.8, 59.4, 51.0, NA, NA, NA, NA, 38.5, 40.9, 43.4)
df <- data.frame(date = date, counts = counts, runtime = runtime)
Here's what I tried so far:
par(mar = c(3,4,4,4) + 0.3)
barplot(df$runtime, col = "palegreen2", border = "NA", ylab = "runtime in [%]",
ylim = c(0,100), font.lab = 2)
par(new = TRUE)
ymax <- max(df$counts, na.rm = TRUE) * 1.05
plot(df$date, df$counts, type = "n", xlab = "", ylab = "", yaxt = "n",
main = "Machine 1", ylim = c(0, ymax))
abline(v = date, col = "red", lwd = 2.5)
lines(df$date, df$counts, col = "blue", lwd = 2)
points(df$date, df$counts, pch = 19, cex = 1.5)
axis(4)
mtext("Number of switching operations", side = 4, line = 3, font = 2)
I found some inspiration for two axis here: http://robjhyndman.com/hyndsight/r-graph-with-two-y-axes/
What can I do to get bars with their middle aligned with the points of the lineplot?
The problem you are running into is the call to the second plot function after the barplot. This is shifting/resizing the plotting canvas which is causing the shift in the subsequent points.
Here is a quick work-around that just rescales the points and lines onto the barplot. It saves the barplot as an object, which stores x-axis locations for the mid-points of the bars. Then, when you plot the abline, lines and points using 'bp' as the x-axis variable, they will be correctly aligned.
ymax <- max(df$counts, na.rm = TRUE) * 1.05
par(mar=c(4.1,5.1,2.1,5.1))
bp <- barplot(df$runtime, col = "palegreen2", border = "NA", ylab = "runtime in [%]",
ylim = c(0,100), font.lab = 2, xlim=c(0.2,12), )
barplot(df$runtime, col = "palegreen2", ylab = "runtime in [%]", border="NA",
ylim = c(0,100), font.lab = 2)
abline(v = bp, col = "red", lwd = 2.5)
lines(bp, df$counts/ymax*100, col = "blue", lwd = 2)
points(bp, df$counts/ymax*100, pch = 19, cex = 1.5)
axis(4,at=c(0,20,40,60,80,100), labels=c("0","100","200","300","400","500"))
mtext("Number of switching operations", side = 4, line = 3, font = 2)
axis(1, at=bp, labels=df$date)
#emilliman: Thank you for your patience and input! Your plot is not completely correct, because the scaling of the second y-axis does not fit the points' values, but your idea helped me to find a solution!
Here's my new code:
library(plyr)
ymax <- max(df$counts, na.rm = TRUE)
ymax_up <- round_any(ymax, 100, f = ceiling)
ylab <- ymax_up/5 * c(0:5)
par(mar = c(3,4,4,4) + 0.3)
bp <- barplot(df$runtime, col = "palegreen2", border = "NA", ylab = "runtime in [%]",
ylim = c(0,100), font.lab = 2, main = "Machine 1")
abline(v = bp, col = "red", lwd = 2.5)
lines(bp, 100/ymax_up * df$counts, col = "blue", lwd = 2)
points(bp, 100/ymax_up * df$counts, pch = 19, cex = 1.5)
axis(4,at=c(0,20,40,60,80,100), labels= as.character(ylab))
mtext("Number of switching operations", side = 4, line = 3, font = 2)
xlab <- as.character(df$date, format = "%b %d")
axis(1, at=bp, labels = xlab)
abline(h = c(0,100))
(http://i.imgur.com/9YtYGSD.png)
Maybe this is helpful for others who run into this problem.
I'm plotting a cdf of some data, and I've added logarithmic scale on the "x" axis.
The ticks spacing is exactly as I want it to be, but I'd like to be able to add
some tick marks on specific points.
I don't want to change the distribution of the ticks in my plot, from n by n to m by m, I want simply to have, among the ticks from n by n, some further tick marks on some values.
I'd like to have it reflected in both x and y axis, so that I can fit a grid into these new marks throughout the graph.
So far I have the graph, and the grid -- I don't mind about having the grid behind or upon the graph, I just want to add some custom ticks.
# Cumulative Distribuition
pdf("g1_3.pdf")
plot(x = f$V2, y = cumsum(f$V1), log = "x", pch = 3,
xlab = "Frequency", ylab = "P(X <= x)",
panel.first = grid(equilogs = FALSE))
axis(1, at = c(40, 150))
abline(h = 0.6, v = 40, col = "lightgray", lty = 3)
abline(h = 0.6, v = 150, col = "lightgray", lty = 3)
dev.off()
UPDATE: The graph I have so far:
Considering the initial script, and the tips given by #BenBolker, I had to use:
axis(side = 1, at = c([all the ticks you want]))
in order to add the ticks in the graph. Here's the final result:
# Cumulative Distribuition
pdf("g1_3.pdf")
plot(x = f$V2, y = cumsum(f$V1), log = "x", pch = 3,
xlab = "Frequency", ylab = "P(X <= x)", axes = FALSE)
ticks = c(1, 5, 10, 40, 150, 500, 1000)
axis(side = 1, at = ticks)
axis(side = 2)
abline(h = seq(0, 1, 0.2), v = ticks, col = "lightgray", lty = 3)
box()