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Is there a simple way to do this in R:
plot(var1,var2, for all observations in the data frame where var3 < 155)
It is possible by creating a new data newdata <- data[which( data$var3 < 155),] but then I have to redefine all the variables newvar1 <- newdata$var1 etc.
903
If you wanted to get the subset of a data. frame (DataFrame) Rows & Columns in R, either use the subset() function , filter() from dplyr package or R base square bracket notation df[] . subset() is a generic R function that is used to get the rows and columns (In R terms observations & variables) from the data frame.
The difference between subset () function and sample () is that, subset () is used to select data from the dataset which meets certain condition, while sample () is used for randomly selecting data of size 'n' from the dataset. This recipe demonstrates an example on subset () and sample () in R.
with(dfr[dfr$var3 < 155,], plot(var1, var2)) should do the trick.
Edit regarding multiple conditions:
with(dfr[(dfr$var3 < 155) & (dfr$var4 > 27),], plot(var1, var2))
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