panel.cor: Correlation coefficient panel for pairs function Description Correlation coefficient panel for pairs function. Usage panel.cor (x, y, digits = 2, prefix = "", cex.cor) Arguments x first data series y second data series digits number of digits to plot prefix text to prefix the coefficients cex.cor character expansion factor pairs panel.cor is a panel function modified from that described in the help file for the pairs function from the graphics package. This has been customized both to show that one can make such customizations, and to enable this one to be used to calculate the correlations between the variables included in a pairs plot. Usage
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mydiag.panel: Function for making fancy correlation matrices, adapted from. omit.outliers: Function that will find outliers in a vector (default: > 3 SD. panel.cor: Function for plotting cor values onto a correlation matrix; plot_lm: Plots xvar against yvar, and title is the P-value; read_qpcr_data: Reads qPCR data into a dataframe panel.cor: A Panel Function for Showing Correlations Description This function is called by pairs20x to show correlation coefficients in panels. Text size is shown proportional to the strength of the correlation. Usage panel.cor (x, y, digits=2, prefix="", cex.cor) Arguments x A vector of values y A vector of values digits Description panel.cor is a panel function modified from that described in the help file for the pairs function from the graphics package. This has been customized both to show that one can make such customizations, and to enable this one to be used to calculate the correlations between the variables included in a pairs plot. Usage panel.cor: Correlation coefficient panel for pairs functionIn xcms: LC-MS and GC-MS Data Analysis. panel.cor. : Correlation coefficient panel for pairs function. Description Usage Arguments Author (s) See Also. View source: R/functions-xcmsSet.R.
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panel.cor(c (1, 2, 3), c (4, 5, 6)) Run the code above in your browser using DataCamp Workspace. Powered by. correlation coefficients for pairs Examples pairs (USJudgeRatings, lower.panel = panel.smooth, upper.panel = panel.cor) PDXChris/pmtools documentation built on Aug. 28, 2023, 2:23 p.m. Description The functions here can be used to customize upper and lower triangles in correlation matrices. In particular panel.cor.res provides correlation coefficients (any alternative from cor can be used) and p -values for correlation tests. The function panel.lm puts linear fitted lines from simple linear regression in scatterplots. Shamelessly adapted from the pairs help page. Uses panel.cor, panel.cor.scale, and panel.hist, all taken from the help pages for pairs. Also adapts the ellipse function from John Fox's car package. pairs.panels is most useful when the number of variables to plot is less than about 6-10. It is particularly useful for an initial overview of the data.
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Shamelessly adapted from the pairs help page. Uses panel.cor, panel.cor.scale, and panel.hist, all taken from the help pages for pairs. Also adapts the ellipse function from John Fox's car package. pairs.panels is most useful when the number of variables to plot is less than about 6-10. It is particularly useful for an initial overview of the data. panel.cor: accessory function for pairs () to display Pearson. In KOGMWU: Functional Summary and Meta-Analysis of Gene Expression Data Description Usage Arguments References View source: R/panel.cor.R Description works as upper.panel or lower.panel argument of pairs () (package graphics). Usage Arguments References
Description works as upper.panel or lower.panel argument of pairs () (package graphics). Usage panel.cor (x, y, digits=2, cex.cor) Arguments x x element of the pairs () matrix y y element of the pairs () matrix digits number of non-zero digits to leave at the end cex.cor scaling factor for displayed text References The line width. line.reg. A function that calculates coefficients of a straight line, for instance, lm (), or rlm () for robust linear regression. line.col. The color of the line. line.lwd. The width of the line. untf. Logical asking whether to untransform the straight line in case one or both axis are in log scale.
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Mar 7, 2013 at 12:38 @agstudy Sorry, I am pretty new to R language. I am not sure how to do this. I tried pairs (USJudgeRatings [,c (2:3,6,1,7)], lower.panel=panel.smooth, upper.panel=panel.cor, pch=18, col="blue") but got some errors. - Samo Jerom The most common high level function used to produce plots in R is (rather unsurprisingly) the plot () function. For example, let's plot the weight of petunia plants from our flowers data frame which we imported in Chapter 3. flowers <- read.table(file = 'data/flower.txt', header = TRUE, sep = "\t", stringsAsFactors = TRUE) plot(flowers$weight)
