rate of exchahge rate of information e rate of laying rate of natural incre rate of occurrence of rate of opening rate of productionp rate of profit based rate of rise and fall rate of sampling rate of stroke stroke rate of total dry rub rate variable rate slew sr rate-adjustable digit...
rate-of-turn record ratebyvolume ratecapacity rated cruise ship rated lamp watt rated output rated output power of rated peak withstand rated power current rated sencondaryload rated travel rated working load of ratefixer rategy rateintegratinggyrosc ratent rateofchange rateofdelayedreport rateofreco...
Now, we can apply the set_variable_labels function to change the labels of our data frame columns:data2 <- set_variable_labels(data2, # Assign labels to data frame variables .labels = my_labels)Let’s use the label function of the Hmisc package to print our labels:...
#(3) Change the text color and size by groups #根据分组赋予颜色和大小 p1 <- sp2 <- ggplot(mtcars, aes(x=wt, y=mpg, label=rownames(mtcars)))+ geom_point() # Color by groups p2 <- sp2 + geom_text(aes(color=factor(cyl))) # Set the size of the text using a continuous varia...
# Change the size of arrows an labels fviz_pca_var(res.pca, arrowsize = 1, labelsize = 5, repel = TRUE) # Change points size, shape and fill color # Change labelsize fviz_pca_ind(res.pca, pointsize = 3, pointshape = 21, fill = "lightblue", ...
(like 'SPSS') and R, based on the haven and foreign packages; hence, this package also includes functions to make working with labelled data easier. This includes easy ways to get, set or change value and variable label attributes, to convert labelled vectors into factors or numeric (and ...
hwCCCVcStateChangeReasonThe following is the structure of hwCCCVcStateReason: { invalidReason(1), vcCreated(2), vcDeleted(3), ldpSessionDown(4), ldpSessionUp(5), receivedDifLabelOrMtu(6), receivedIntfParaMatching(7), receivedIntfParaUnMatched(8), receivedUnPassCbitCheck(9), receivedUnPass...
要更改渐变颜色,应使用参数gradient.cols。 # Create a grouping variable using kmeans # Create 3 groups of variables (centers = 3) set.seed(123) # 进行聚类 # center聚类数量 res.km <- kmeans(var$coord, centers = 3, nstart = 25)
ggdotplotstats() This function is similar togghistostats(), but is intended to be used when the numeric variable also has a label. set.seed(123) ggdotplotstats(data=dplyr::filter(gapminder::gapminder,continent=="Asia"
DataLabel DisplayEquation DisplayRSquared Format Forward Forward2 Index Intercept InterceptIsAuto Name NameIsAuto Order Parent Period Type Methods ITrendlines IUniqueValues IUpBars IUsedObjects IUserAccess IUserAccessList IValidation IValueChange IVPageBreak IVPageBreaks IWalls IWatch IWatches IWindow I...