I want to make a dual y-axis graph that gives the absolute number change on the left hand side of total enrolment and female enrolment, and the proportion of female enrolment on the right hand side.
I've gotten the code to output the graph I want into png, but it doesn't fit within the window. I've tried expanding the size of the output file but that just enlarges the output instead of extending the window.
png("UNDERSTEM1.png", width=700, height=700)
plot(x, y1, type = "b", frame = FALSE, pch = 20,
col = "black", xlab = "Year", ylab = "", ylim=c(0,11000000))
mtext("No. of Students", side=2, line=3)
lines(x, y2, pch = 20, col = 451, type = "b", lty = 1)
par(new = TRUE)
plot(y5, type = "l", xaxt = "n", yaxt = "n",
ylab = "", xlab = "", col = "red", ylim=c(0,100), lty = 2)
axis(side=4, seq(0, 100, 10), las=2)
mtext("Percentage", side=4, line=3)
legend("topleft", legend=c("STEM", "STEM FEMALE", "PERCENTAGE FEMALE"),
col=c("black", 451, "red"), lty=c(1, 1, 2), cex=1)
dev.off()
The output of this is a graph that has the percentage values on the right-hand side like I want, but it cuts off the end of the last 0 on 100 and doesn't show the percentage label either.
Related
I am using the plot() function in r using these codes:
plot(x= T38$Variables,
y= T38$Q5_E_38, type = "b", pch=16, col = "red",
xlab = "", ylab = "", yaxt = "n",
xaxt= "n", main="RMSE ")
title(xlab = "Variables", line =1.5, cex.lab = 1.5)
title(ylab = "RMSE" , line =1.5, cex.lab = 1.5 )
axis(2, at= T38$Q5_E_38[37], col="red", cex.axis=0.6)
axis(1, cex.axis=0.6)
My problem is that the axis labels are too distant from the axis. I need to bring them closer to the axis. Please see the following picture. How Can I bring the numbers closer to the axis in Plot()?
Taking your x-axis for example:
axis(side = 1, labels = FALSE)
mtext(axTicks(1), side = 1, line = 0.5, at = axTicks(1), cex = 0.6)
Adjust line = ? as you see fit.
I am trying to use two different Y axis with the same X Axis and when I set both axes to false the Year wont show up
library(lubridate)
x <- dataset$Date
y <- dataset$AvgCostPerKwh
z <- dataset$ActualkWhSold
par(mar=c(5, 4, 4, 6) + 0.1)
plot(year(x),y, pch = 16, axes = FALSE, ylim = c(0.030,0.090), xlab = "", ylab = "",
type = "b", col="black", main = "Wholesale Power cost")
axis(2, ylim =(range(c(y))), col = "black", las =1)
mtext("$ per KWh", side = 2, line = 2.5)
box()
par(new = TRUE)
plot(year(x),z, pch = 15, xlab = "", ylab = "",ylim=c(5000000,45000000),
axes = FALSE, type="b", col="red")
mtext("Kwh's Sold", side=4, col="red", line=4)
axis(4, ylim=(range(c(z))), col = "red", las=1)
mtext("Year", side = 1, col="black",line=2.5)
legend("topleft", legend = c("AvgCostPerKwh", "ActualKwhSold"),
text.col = c("black", "red"),
pch=c(15,15),col=c("black", "red"))
Image 1
When I set one of the plots to true, I get overlapping values one one side, but the year on the bottom shows up.
library(lubridate)
x <- dataset$Date
y <- dataset$AvgCostPerKwh
z <- dataset$ActualkWhSold
par(mar=c(5, 4, 4, 6) + 0.1)
plot(year(x),y, pch = 16, axes = TRUE, ylim = c(0.030,0.090), xlab = "", ylab = "",
type = "b", col="black", main = "Wholesale Power cost")
axis(2, ylim =(range(c(y))), col = "black", las =1)
mtext("$ per KWh", side = 2, line = 2.5)
box()
par(new = TRUE)
plot(year(x),z, pch = 15, xlab = "", ylab = "",ylim=c(5000000,45000000),
axes = FALSE, type="b", col="red")
mtext("Kwh's Sold", side=4, col="red", line=4)
axis(4, ylim=(range(c(z))), col = "red", las=1)
mtext("Year", side = 1, col="black",line=2.5)
legend("topleft", legend = c("AvgCostPerKwh", "ActualKwhSold"),
text.col = c("black", "red"),
pch=c(15,15),col=c("black", "red"))
image 2
I am not sure, I have followed other examples on here about 2 Y axis and I can't get mine to work.
I have answered my own question for anyone interested, I forgot to add
year(as.Date(dataset$Date, format = "%m/%d/%Y"),"%Y")
at the top before adding
plot(year(x), y, pch=16, axes=FALSE, ylim=c(0.030,1), xlab="", ylab="",
type="b",col="black", main="Wholesale Power Cost")
I want to plot in R several panels with data measured along a sediment core (see image below). Next to the plots, I want to add a photo of that sediment core, aligned to the exact y coordinates as the plots (to be able to identify if a certain layer in the photo corresponds to a peak in some element in the plot).
The piece of code below produces de multipanel plot plus the photo (see below as well). As you can see using the tape measure in the photo, the y coordinates of the plots do not match the coordinates of the photo.
op <- par(mfrow = c(1,4), oma = c(5,4,2,0) + 0.1, mar = c(0,0,4,1) + 0.1, pch = 20)
plot(y = -curian3_scores$Sample, x = curian3_scores$RC1, xaxt = "n", type = "o", pch =16, ylab = "", xlab = "", lwd = 1.5, col = "blue", ylim = c(-1197.744, -40), cex.axis = 1.2)
axis(3, cex.axis = 1.2)
mtext(side = 3, text = var.PC1, line = 2.2, cex = 0.9)
mtext(side = 2, text = "Depth (mm)", line = 3, cex = 0.9)
plot(y = -curian3_scores$Sample, x = curian3_scores$RC2, xaxt = "n", yaxt = "n", type = "o", ylab = "", xlab = "", lwd = 1.5, col = "red", ylim = c(-1197.744, -40), cex.axis = 1.2)
axis(3, cex.axis = 1.2)
mtext(side = 3, text = var.PC2, line = 2.2, cex = 0.9)
plot(y = -curian3_scores$Sample, x = curian3_scores$RC3, xaxt = "n", yaxt = "n", type = "o", ylab = "", xlab = "", lwd = 1.5, col = "darkgreen", ylim = c(-1197.744, -40), cex.axis = 1.2)
axis(3, cex.axis = 1.2)
mtext(side = 3, text = var.PC3, line = 2.2, cex = 0.9)
# Charge the image as an R object with the "JPEG" package
library(jpeg)
my_image=readJPEG("~/Documents/FEINA/POSTDOCTORAT/RESILCOAST/ARTICLES/Carbon_persistence/Data_mining/CoreScanner/Core_Images_for_R/CURIAN3a_8.jpg")
# Set up a plot area with no plot
plot(y = -curian3_scores$Sample, x = curian3_scores$RC3, type = "n", axes = F, ylab = "", xlab = "")
# Get the plot information so the image will fill the plot box, and draw it
lim <- par()
rasterImage(my_image, xleft = lim$usr[1], ybottom = lim$usr[3], xright = lim$usr[2], ytop = lim$usr[4])
par(op)
Any ideas to make the photo's and plots' coordinates to match? If the ylim in each plot worked, I think this would be it... however, I think they're overruled for some reason...
For a customer I'm trying to do a combined barplot and lineplot (with points) with two y axis.
Problem: My bars and points are not aligned.
Background: We have several machines and are measuring their number of on/of switches and the amount of time that each machine is running. We want both information together in one plot to save space, because we have several machines.
The data is aggregated by day or hour. Here's some sample data:
date <- seq(as.Date("2016-10-01"), as.Date("2016-10-10"), "day")
counts <- c(390, 377, 444, NA, NA, NA, NA, 162, 166, 145)
runtime <- c(56.8, 59.4, 51.0, NA, NA, NA, NA, 38.5, 40.9, 43.4)
df <- data.frame(date = date, counts = counts, runtime = runtime)
Here's what I tried so far:
par(mar = c(3,4,4,4) + 0.3)
barplot(df$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 want to add commas to the y-axis on my plot, but what I have tried so far is not working:
matplot(X, Y, type = "l", col = "green", xlab = "Time (years)", ylab = "Cost", main = "BLANK", ylim = (30000,60000), xlim = c(0,15))
is what I have.
Not sure how to add commas to the 30,000 - 60,000 which should appear on the y-axis.
EDIT: Sorry, what I meant in tags for matplot was this: http://stat.ethz.ch/R-manual/R-patched/library/graphics/html/matplot.html
You could use a combination of yaxt = "n", axis and prettyNum as in
Y <- seq(30000, 60000, 2000)
X <- 0:15
matplot(X, Y, type = "l", col = "green", xlab = "Time (years)", ylab = "Cost", main = "BLANK", yaxt = "n")
axis(2, Y, labels = prettyNum(Y, big.mark = ","))