Calculate Percentage by Group We can now calculate percentage by group, percentage of investment in each stock grouped by portfolio, using the following formula: 1 portfolios %>% 2 group_by(portfolio) %>% 3 mutate(percent = amount/sum(amount)) 4 5The results are shown below: 6 7 # A ...
These are: the number of values (nbr.val), the number of null values (nbr.null), the number of missing values (nbr.na), the minimal value (min), the maximal value (max), the range (range, that is, max-min) and the sum of all non-missing values (sum) desc:do we have to re...
by(ma[c("weight","height")],ma$group,summary) #对数据框ma中的weight和height变量按group分组,分别进行summary获取描述统计量后输出结果 【2】stat.desc{pastecs} stat.desc(x, basic=TRUE, desc=TRUE, norm=FALSE, p=0.95),这是一个比较牛X的函数,会得出比较多的描述性指标。x为数据框或时间序列,在...
(date,count,Florida) %>% group_by(date,Florida) %>% summarise(count=sum(count)) %>% ggplot(., aes(fill=Florida,y=count,x=date))+geom_bar(position="stack",stat="identity")+scale_fill_manual(name="",values=c("grey80","forestgreen"),drop=FALSE,labels=c("Rest of U.S.","...
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In words, to make a prediction using the model, you calculate a linear sum of products of the Estimate values multiplied by their corresponding X values. The Intercept value is a constant not associated with any variable. When you have categorical explanatory variables, one...
#' @param cells.1 Vector of cell names belonging to group 1 #' @param cells.2 Vector of cell names belonging to group 2 #' @param features Features to calculate fold change for. #' If NULL, use all features #' @importFrom Matrix rowSums #' @rdname FoldChange #' @concept differenti...
rxSSCP Calculate the sum of squares / cross-product matrix for a set of variables. rxRoc Receiver Operating Characteristic (ROC) computations using actual and predicted values from binary classifier system. * Signifies the most popular functions in this category. How to work with RevoScaleR Function...
R 复制 # Use the PRROC package to help calculate and plot AUC-ROC and AUPRC install.packages("PRROC", quiet = TRUE) library(PRROC) 计算AUC-ROC 和 AUPRC 指标将计算并绘制两种模型的 AUC-ROC 和 AUPRC 指标。不平衡的数据集计算预测:R 复制 ...
knitr::kable(a$sum.matched[c(1,2,4)],digits=2,align='c',caption='Summary of balance for matched data') The distributions of propensity scores can be visualized using the plot-function which is part of the MatchIt package . 代码语言:javascript ...