I have data in a zoo object which has multiple columns.
Now I want to plot (four of those columns) two columns in same and two in graph below the previous graph.
To be more precise, I have been able to plot the four of them one below the other.
But I want first two in the same plot and last two in the next plot
It should work by adding nc=2 in your plot command (ie number of columns = 2).
Related
I'm working with a dataset where I have one continous variable (V1) and want to see how that variable differs depending on demographics such as sex, age group etc.
I would like to do one graph that contains multiple boxplots - so that V1 is on the Y-axis and all my demographic variables (sex, age groups etc.) are on the x-axis with their corresponding p-values. Anyonw know how to do this in R?
I've added two photos to illustrate my dataset and the output I want.
Thanks!
Output example
Data example
It would be nice to have actual data and the code you already have so we can replicate what you have and work what you want. That being said, this link might be what you are looking for:
https://statisticsglobe.com/draw-multiple-boxplots-in-one-graph-in-r#example-2-drawing-multiple-boxplots-using-ggplot2-package
Scroll down about half way to Example 4: Drawing Multiple Boxplots for Each Group Side-by-Side
I have the following code to plot a large dataset (450k) in ggplot2
x<-ggplot()+
geom_point(data=data_Male,aes(x=a,y=b),color="Turquoise",position=position_jitter(w=0.2,h=1),alpha=0.1,size=.5,show.legend=TRUE)+
geom_point(data=data_Female,aes(x=a,y=b),color="#FF9999",position=position_jitter(w=0.2,h=1),alpha=0.1,size=.5,show.legend=TRUE)+
theme_bw()
x<-x+geom_smooth(data=data_Male,aes(x=a,y=b,alpha="Male"),method="lm",colour="Blue",linetype=1,se=T)+
geom_smooth(data=data_Female,aes(x=a,y=b,alpha="Female"),method="lm",colour="Dark Red",linetype=5,se=T)+
geom_smooth(data=data_All,aes(x=a,y=b,alpha="All"),method="lm",colour="Black",linetype=3,se=T)+
scale_fill_discrete(name="Key",labels=c("Female","Male","All"))+
scale_colour_discrete(name="Plot Colour",labels=c("Female","Male","All"))+
scale_alpha_manual(name="Key",
values=c(1,1,1),
breaks=c("Female","Male","All"),
guide=guide_legend(override.aes=list(linetype=c(5,1,3),name="Key",
shape=c(16,16,NA),
color=c("Dark Red","Blue","Black"),
fill=c("#FF9999","Turquoise",NA))))
How can I change the order in which points are plotted? I have seen answered questions here dealing with a single dataframe but I am working with several dataframes so I cannot re-order the rows or ask ggplot to plot by certain criteria from within the dataframe. You can see an example of the kind of problem that this causes in the attached picture: the Female points are plotted on top of the Male points. Ideally I would like to be able to plot all the points in a random order, so that one "cloud" of points is not plotted on top of the other, obscuring it (N.B. the image shown doesn't include the "All" line).
Any help would be appreciated. Thank you.
I belive this is not possible. The following should work though:
You'd have to paste the two data frames together to df. The new data frame will appear sorted by male and female.
You can then suffle the new data frame:
set.seed(42)
rows <- sample(nrow(df))
male_female_mixed <- df[rows, ]
Then you can plot male_female_mixed
I have a data frame (pLog) containing the number of reads per nucleotide for a chip-seq experiment done for a E. coli genome (4.6MB). I want to be able to plot on the X axis the chromosomal position and on the Y axis the number of reads. To make it easier, I binned the data in windows of 100bp. That makes the data frame of 46,259 rows and 2 columns. One column is named "position" and has a number representing a chromosomal position (1,101,201,....) and the other column is named "values" and contains the number of reads found on that bin e.g.(210,511,315,....). I have been using ggplot for all my analysis and I would like to use it for this plot, if possible.
I am trying for the graph to look something like this:
but I haven't been able to plot it.
This is how my data looks like
I tried
ggplot(pLog,aes(position))+
geom_histogram(binwidth=50)
ggsave(file.jpg)
And this is how it looks like :(
Many thanks!
You cannot use geom_histogram(), try geom_line:
pLog=data.frame(position=seq(1,100000,by=100),
value=rnbinom(10000,mu=100,size=20))
ggplot(pLog,aes(x=position,y=value))+geom_line(alpha=0.7,col="steelblue")
Most likely you need to play around to get the visualization you need
I am not sure I can accomplish what I am trying to do with gnuplot.
I am not sure whether it would be better to plot my data as a colored surface plot or in the following way:
Firstly, here is an explanation of my data format.
The first column contains time values. The time typically does something like 0, 1, 2, 3, 4, 5, .... For each time, the row next to the time value contains the data I would like to plot. (This is the y-data on a 2D plot, the x-data is the x index (row index) of the data minus 1 for the first column which contains the time index.
I have many (~ 1000) time values.
So it looks something like this:
Sorry for awful color choice.
Essentially I would like to plot a line graph for each time value, and put these 2d plots side by side in a 3d plot.
Can I even do this with gnuplot?
I hope the question is clear, if not I can try and add more information.
plot 'data.txt' matrix using ($1-1):3:2 every 1::1 with linespoints palette
your Excel data are copied to data.txt
matrix mode plots lines series (it's that you want)
the first and the second parameter in using when plotting matrix are mode specifiers: 1:3 is "plot rows of matrix".
Citing #Cristoph's comment,
"With the matrix option, the column number is available as first
column, the row number as second column and the actual matrix value as
third column."
($1) would be equal to 1 here, but ($1 - 1) means "subtract unity from a column number" - this way x would start from 0 for each row.
every 1::1 - do not include the first column with time values into plot.
at last using ..:..:2 allows you to set different colors (equal to row number) for the palette option.
The answer is based on similar question and answer
I have some items that have different eligibility criteria - specifically in this example two variables each with a min and max the values are allowed to take. I would like to see the coverage of the products by plotting rectangles for each product on a chart that shows the area between the mins and maxs.
How would you go about
converting the records most elegantly to that required by geom_polygon() and
ensuring the shapes produced appear as rectangles
Example
library(data.table)
library(ggplot2)
df<-data.table(Product=letters[1:10], minX=1:10, maxX=5:14, minY= 10:1, maxY=14:5)
df.t<-data.table(rbind( df[,list(Product,X=minX,Y=minY)],
df[,list(Product,X=minX,Y=maxY)],
df[,list(Product,X=maxX,Y=minY)],
df[,list(Product,X=maxX,Y=maxY)]))[
order(Product,X,Y)]
ggplot(df.t,aes(x=X,y=Y,group=Product,fill=Product))+geom_polygon()
NB In this reduced example there are only two criteria, however I have a range of criteria columns and would not want to repeat the exercise above for different combinations.
Use your original data frame df and then geom_rect() as you already have minimal and maximal values for the x and y.
ggplot(df,aes(xmin=minX,xmax=maxX,ymin=minY,ymax=maxY,fill=Product))+geom_rect()