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()
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 want to enlarge the size of the axis labeling.
par(mar=c(1,1,1,1))
scatter3D(x = Eplot_sand.mean$OM, y = Eplot_sand.mean$rho_B, z = Eplot_sand.mean$Pv.mean,
phi = 20, theta = 35, bty = "b2", type = "h",alpha = 0.8, clim =c(0,150),
ticktype = "detailed", pch = 19, cex = 1.2, clab = "Pv (kPa)",
xlab = "OM (%)",
revolutions=100,
zlab = "Pv (kPa)",
ylab = "bulk density (g cm-³)",
bg.col="black",
sphere.size=100,
xlim = c(0,5),
ylim = c(1,2),
zlim = c(0,150),
col = ramp.col(c("blue", "green","orange", "red")))
Thanks in advance!
Similarly to the limit command in your function (xlim etc), you can do a cex command for your label indicating the size of text be scaled relative to the default:
scatter3D(...,
cex.lab=par("cex.lab"))
This is also slightly documented here:
https://www.rdocumentation.org/packages/scatterplot3d/versions/0.3-41/topics/scatterplot3d
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.
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.
When I draw grid lines on a plot using abline() the grid lines are drawn over the data.
Is there a way to draw the abline() lines behind the data? I feel this would look better.
Example:
x <- seq(0, 10)
y <- x
plot(x, y, col = 'red', type = 'o', lwd = 3, pch = 15)
abline(h = seq(0, 10, .5), col = 'lightgray', lty = 3)
abline(v = seq(0, 10, .5), col = 'lightgray', lty = 3)
The plot produced has the gray grid lines going over the data (red line). I would like the red line to be on top of the gray lines.
The panel.first argument of plot() can take a list or vector of functions so you can put your abline() calls in there.
plot(1:4, panel.first =
c(abline(h = 1:4, lty = 2, col = 'grey')
,abline(v = 1:4, lty = 2, col = 'grey')))
Use plot() to set up the plotting window, but use type = "n" to not plot any data. Then do your abline() calls, or use grid(), and then plot the data using whatever low-level function is appropriate (here points() is fine).
x <- seq(0, 10)
y <- x
plot(x, y, type = "n")
abline(h = seq(0, 10, .5), col = 'lightgray', lty = 3)
abline(v = seq(0, 10, .5), col = 'lightgray', lty = 3)
points(x, y, col = 'red', type = 'o', lwd = 3, pch = 15)
or
## using `grid()`
plot(x, y, type = "n")
grid()
points(x, y, col = 'red', type = 'o', lwd = 3, pch = 15)
See ?grid for details of how to specify the grid as per your abline() version.
Plot first with type="n" to establish coordinates. Then put in the grid lines, then plot again with your regular plot type:
plot(x, y, col = 'red', type = 'n', lwd = 3, pch = 15)
abline(h = seq(0, 10, .5), col = 'lightgray', lty = 3)
abline(v = seq(0, 10, .5), col = 'lightgray', lty = 3)
par(new=TRUE)
plot(x, y, col = 'red', type = 'o', lwd = 3, pch = 15)
I admit that I have always thought the name for that par parameter was "backwards."
Another way of creating grid lines is to set tck=1 when plotting or in the axis function (you may still want to plot the points using points after creating the grid lines.