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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
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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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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
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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.
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panel.cor <- function(x, y, digits = 2, prefix = "", cex.cor,.) { usr <- par("usr") on.exit(par(usr)) par(usr = c(0, 1, 0, 1)) Cor <- abs(cor(x, y)) # Remove abs function if desired txt <- paste0(prefix, format(c(Cor, 0.123456789), digits = digits)[1]) if(missing(cex.cor)) { cex.cor <- 0.4 / strwidth(txt) } text(0.5, 0.5, txt, cex = 1 + cex.c.
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1 Answer Sorted by: 0 r2 <- cor.test (x, y)$p.value r3 <- symnum (r2, cutpoints = c (0, 0.001, 0.01, 0.05, 1), symbols = c ("***","**","*","")) can be used to obtain p value. so the whole panel.cor function looks like this:
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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
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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
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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.
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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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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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upper.panel=panel.cor, lower.panel=panel.lm) 自定义后的散点图矩阵主对角线上用了直方图,从中我们可以看到四个变量各自的分布情况;上三角面板显示了各个变量之间的相关系数,相关系数越大字号越大;下三角为散点图,并用不同颜色的点标记出鸢尾花的不同类型.
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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.
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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.
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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
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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