R – How to remove left white space in heatmap.2 output

heatmapplotr

With this code

 library(gplots)

 # Read data
 dat <- read.table("http://dpaste.com/1501148/plain/",sep="\t",header=T);
 rownames(dat) <- dat$Name
 dat <- dat[,!names(dat) %in% c("Name")]

 #Set colour
 hmcols <- rev(redgreen(2750));

 pdf("~/Desktop/tmp.pdf")

 # Plot the figure, we don't want KEY in the plot and no dendrograms also.
 heatmap.2(as.matrix(dat),Colv=FALSE,dendrogram="none",scale="row",col=hmcols,trace="none",  margin=c(5,15), lwid=c(1.5,2.0),key=FALSE);
 dev.off()

It output the following figure:
enter image description here

Note that it has too many white space on the left.
How can I remove it?
In principle I want to do left-justify of the whole heatmap.

Best Answer

This can be done using layout parameters: lhei and lwid, which control the hight and the width of the plot.

In your case, try: lwid=c(0.1,4), lhei=c(0.1,4)

Please refer to this post for more details on how to use layout parameters within heatmap.2.

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R – How to join (merge) data frames (inner, outer, left, right)

By using the merge function and its optional parameters:

Inner join: merge(df1, df2) will work for these examples because R automatically joins the frames by common variable names, but you would most likely want to specify merge(df1, df2, by = "CustomerId") to make sure that you were matching on only the fields you desired. You can also use the by.x and by.y parameters if the matching variables have different names in the different data frames.

Outer join: merge(x = df1, y = df2, by = "CustomerId", all = TRUE)

Left outer: merge(x = df1, y = df2, by = "CustomerId", all.x = TRUE)

Right outer: merge(x = df1, y = df2, by = "CustomerId", all.y = TRUE)

Cross join: merge(x = df1, y = df2, by = NULL)

~~Just as with the inner join, you would probably want to explicitly pass "CustomerId" to R as the matching variable.~~ I think it's almost always best to explicitly state the identifiers on which you want to merge; it's safer if the input data.frames change unexpectedly and easier to read later on.

You can merge on multiple columns by giving by a vector, e.g., by = c("CustomerId", "OrderId").

If the column names to merge on are not the same, you can specify, e.g., by.x = "CustomerId_in_df1", by.y = "CustomerId_in_df2" where CustomerId_in_df1 is the name of the column in the first data frame and CustomerId_in_df2 is the name of the column in the second data frame. (These can also be vectors if you need to merge on multiple columns.)

R – How to trim leading and trailing white space

As of R 3.2.0 a new function was introduced for removing leading/trailing white spaces:

trimws()

See: Remove Leading/Trailing Whitespace

Best Answer

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R – How to join (merge) data frames (inner, outer, left, right)

R – How to trim leading and trailing white space

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