sj.Plot套件更新，新功能加上！

Published by 劉正山,


February 27, 2016
Changes to functions
  • Improved text label positioning for plotting functions.
  • Plotting functions now get an argument y.offset to specify an offset for text labels from geoms.
  • sjp.lm and sjt.lm now support gls models fitted with nlme::gls.
  • sjp.int now fits the y-axis to the required range for predicted probabilities for logistic regressions instead of always using a range from 0 to 1, even for smaller effects (#86).
  • sjp.glmer and sjp.lmer get a axisLimits.y argument to specify y-axis limits specifically for predicted probability or effect plots.
  • view_df now supports showing missings and missing percentages (#76). <--這是量化資料分析全班的貢獻！
  • Harmonized column names of returned data frames to match broom's naming convention for sjp.lm, sjp.glm, sjp.lmer, sjp.glmer, sjp.lmm, sjp.glmm, sjp.aov1 and sjp.int (#94).
  • Functions with harmonized data frames as return value now also gain the class attribute sjPlot, and all returned data frame values are named data.
  • sjp.scatter gets a useCount argument to indicate overplotting by point size.
  • sjp.scatter now also plots data points when using argument pointLabels, so exact position of labelled data points is visible. geom_text_repel is used to avoid overlapping of points and labels.
  • sjt.xtab gets a title argument to print a table caption.

Bug fixes
  • Automatic label detection did not choose column names when no variable labels were present for functions that accepted data frames as data argument (#96), now works again. <—這是別人的貢獻，但對我們有更大好處！
  • sjp.int did not work with fitted models from class lme, now works again.
  • sjt.xtab did not show NA values for showNA = TRUE, now works again. <—這是別人的貢獻，但對我們有更大好處！
  • sjt.xtab did not use arguments valueLabels (#101), now works again. <—這是別人的貢獻，但對我們有更大好處！
  • Table summary (chi-squared, phi, p) for sjt.xtab were wrong, now works again. <--這是量化資料分析全班的貢獻！
  • Due to rounding, total percentage in sjt.xtab could differ from 100%.
  • Minor fixes.