R-Studio Tutorial: Multiple Lines in One Plot With GGPlot

In today's video, we are going to discover how to create a plot in ggplot2 for R that contains multiple lines in the same graphic. We are also going to add dots to the lines to make each datapoint more visible.

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If you have any questions about this video or GGPlot in general, leave them down below in the comments and I'll do my best to answer them.

[ProfBoggs]

This is one of the few videos I have found showing how to combine ggplot and wide format data. Thank you.

[reshjnithin]

Thanks a lot! I was breaking my head for the past 3 hours because I was getting so many errors. This saved my day and grades for my assignment.

[keiserious]

Just started rstudio last week and was having difficulties with two line plot, this is tremendous! Would love to see you apply loess\lowess smoothing to this chart. Thank you for your easy and straightforward tutorials 👍

[zahrasadatvaziri]

At a loss for words. It save me from a lot of headache. Much appreciated.

[fransingolf]

As someone just starting out with learning to use RStudio, this video has been by far the most helpful for me so far. What a hero, thanks so much for the explanation!

[michaelpappas]

Awesome video! Been searching forever to find this specific information. Thank you!!

[Lara-zogn]

You've literally saved my butt in my statistics course at university, thank you! (:

[gregmoore]

Great explanation; a real time-saver! Thank you!

[viantube_]

Thank you sir, you have saved my keister.

[andrewjohnson]

Thank you! I have been struggling for awhile to get a nice plot out and this video helped alot

[lizbethmujica]

I could do my homework, thanks to your video :)

[WahranRai]

11:04 It is not a good solution for ylab (what about if you have to add another line..). I will recommend :
ylab = "Effectif" (or something else ) and adding a *legend* with "blue" armed forces etc...

[midasmageto]

Very helpful. I kindly request for a video on how to add a legend, given 2 y variables. Thanks

[jcornish]

This was a really useful video. Thanks for this.
I wondered if you had any advice on how to connect two points with a line using the mean of different columns in a dataset?
I have tried using different methods but I thought the following would work in R but it doesn't.
ggplot()+
geom_point(data = wsd, mapping = aes(x = "Mud intact", y = mean(Mud_intact)), colour = "blue", size = 3)+
geom_point(data = wsd, mapping = aes(x = "Sand intact", y = mean(Sand_intact)), colour = "blue", size = 3)+
geom_line()+
geom_point(data = wsd, mapping = aes(x = "Mud hair cut", y = mean(Mud_hair.cut)), colour = "red", size = 3)+
geom_point(data = wsd, mapping = aes(x = "Sand hair cut", y = mean(Sand_hair.cut)), colour = "red", size = 3)+
geom_line()+
labs(title = "Comparison of mean worm speed with/without hairs on different substrates", x = "Worm condition and Surface type", y = "Mean Speed")+
theme_bw()

Any advice greatly appreciated.

[ChristianoSts]

I have a 300 x 450 matrix, 300 samples with 450 factors. I´d like to plot the 300 lines in a graph (if possible, 5 diferent colors to represent categories which samples belong to), i´ve tried many approaches, now I have transposed the data, and can´t find a way to put column data [2:454] versus x=column 1. in other words, is there a way to plot 200 collumns without having to write one by one?

[alvarodel]

Hello, and how would it be if instead of 2 graphs I wanted to make 3 or more on the same graph? Could you help me please? Thank you very much.

[ardykharabian]

I have a small R script below that creates a graph.
This script only imports one .csv to .tsv file.
However, I need to tweak it in a way that it can import multiple .tsv files and create overlaying graphs (transparent histogram and line) with different colours.
Can you do it for me?
# read in data
df = read.csv("your_distribution.tsv", sep="\t")

# filter Ks distribution (0.001 < Ks < 5)
lower_bound = 0.001
upper_bound = 5
df = df[df$Ks < upper_bound, ]
df = df[df$Ks > lower_bound, ]

# perform node-averaging (redo when applying other filters)
dff = aggregate(df$Ks, list(df$Family, df$Node), mean)

# reflect the data around the lower Ks bound to account for boundary effects
ks = c(dff$x, -dff$x + lower_bound)

# plot a histogram and KDE on top
hist(ks, prob=TRUE, xlim=c(0, upper_bound), n=50)
lines(density(ks), xlim=c(0, upper_bound))

[athiribacha]

If it is vertex in linear graph, the area of highest value in ggplot is called as?

[JouikisShow]

muhcas gracias amigo me ayudo mucho manita arriba

[travisjiang]

thanks god someone posted it ! and could you specify how to add independent legend on the sides of the plot? instead of renaming the y-axis. Thanks !!