Functions to print classes of the AMR
package.
# S3 method for mic plot( x, main = paste("MIC values of", deparse(substitute(x))), ylab = "Frequency", xlab = "MIC value", axes = FALSE, ... ) # S3 method for mic barplot( height, main = paste("MIC values of", deparse(substitute(height))), ylab = "Frequency", xlab = "MIC value", axes = FALSE, ... ) # S3 method for rsi plot( x, lwd = 2, ylim = NULL, ylab = "Percentage", xlab = "Antimicrobial Interpretation", main = paste("Resistance Overview of", deparse(substitute(x))), axes = FALSE, ... ) # S3 method for rsi barplot( height, col = c("chartreuse4", "chartreuse3", "brown3"), xlab = ifelse(beside, "Antimicrobial Interpretation", ""), main = paste("Resistance Overview of", deparse(substitute(height))), ylab = "Frequency", beside = TRUE, axes = beside, ... )
x | the coordinates of points in the plot. Alternatively, a
single plotting structure, function or any R object with a
|
---|---|
main | overall and sub title for the plot. |
ylab | a label for the y axis. |
xlab | a label for the x axis. |
axes | logical. If |
... | Parameters passed on to functions |
height | either a vector or matrix of values describing the
bars which make up the plot. If |
ylim | limits for the y axis. |
col | a vector of colors for the bars or bar components.
By default, grey is used if |
beside | a logical value. If |
The lifecycle of this function is stable. In a stable function, major changes are unlikely. This means that the unlying code will generally evolve by adding new arguments; removing arguments or changing the meaning of existing arguments will be avoided.
If the unlying code needs breaking changes, they will occur gradually. For example, a parameter will be deprecated and first continue to work, but will emit an message informing you of the change. Next, typically after at least one newly released version on CRAN, the message will be transformed to an error.
On our website https://msberends.github.io/AMR/ you can find a comprehensive tutorial about how to conduct AMR analysis, the complete documentation of all functions and an example analysis using WHONET data. As we would like to better understand the backgrounds and needs of our users, please participate in our survey!