Blog Archives

Some example graphs in corrplot 0.60

December 8, 2011
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corrplot 0.60 is on CRAN now, here are some example graphs:

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Visulization of correlation matrix 2

April 22, 2009
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The plot.corr() function was updated, now it can1. Add colorkey and text labels more flexible.2. Reorder the variables using PCA or hierarchical clustering methods.3. Excellent in details.4. Other.What's more, I found a new method to display correlatio...

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Visulization of correlation matrix 2

April 22, 2009
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The plot.corr() function was updated, now it can1. Add colorkey and text labels more flexible.2. Reorder the variables using PCA or hierarchical clustering methods.3. Excellent in details.4. Other.What's more, I found a new method to display correlatio...

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Comparison of different circle graphs

March 24, 2009
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See in my Picasa here and get corrplot package here. Thanks Bob O'Hara's advice:)I found people's tastes differ, so input parameter col (fill color) and bg (background color) was added in new edition. What is more, now you can order your variables usin...

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Comparison of different circle graphs

March 24, 2009
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See in my Picasa here and get corrplot package here. Thanks Bob O'Hara's advice:)I found people's tastes differ, so input parameter col (fill color) and bg (background color) was added in new edition. What is more, now you can order your variables usin...

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Play Sliding Puzzles on R

March 22, 2009
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The code was shared on my google docs. See it here.

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Play Sliding Puzzles on R

March 22, 2009
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The code was shared on my google docs. See it here.

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Visulization of correlation matrix

March 12, 2009
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Color Imagedata(mtcars)fit = lm(mpg ~ ., mtcars)cor = summary(fit, correlation = TRUE)$correlationcor2 = t(cor)colors = c("#A50F15", "#DE2D26", "#FB6A4A", "#FCAE91", "#FEE5D9","white", "#EFF3FF", "#BDD7E7", "#6BAED6", "#3182BD", "#08519C")image(1:11, 1:11, cor2, axes = FALSE, ann = F, col = colors)text(rep(1:11, 11), rep(1:11, each = 11), round(100 * cor2))Ellipseslibrary(ellipse)col =

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Visulization of correlation matrix

March 12, 2009
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Color Imagedata(mtcars)fit = lm(mpg ~ ., mtcars)cor = summary(fit, correlation = TRUE)$correlationcor2 = t(cor)colors = c("#A50F15", "#DE2D26", "#FB6A4A", "#FCAE91", "#FEE5D9","white", "#EFF3FF", "#BDD7E7", "#6BAED6", "#3182BD", "#08519C")image(1:11, 1:11, cor2, axes = FALSE, ann = F, col = colors)text(rep(1:11, 11), rep(1:11, each = 11), round(100 * cor2))Ellipseslibrary(ellipse)col =

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Andrews’ Curve And Parallel Coordinate Graph

March 11, 2009
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Unison graph and parallel coordinate graph share similar thought in visualising the difference of multidimensional data, thought the former is much more complicated. Based on iris data, we can see their performance.Parallel coordinate graphAndrews' Cur...

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