您可以使用count()按组对!is.na(Herbivory_type)求和，并获得每个区域的非缺失值的数量。
By executing the previous R code we have created Table 2, i.e. a data frame that has been grouped by two variables. Note that we have calculated thesum of each group. However, it would also be possible to compute other descriptive statistics such as the mean or the variance. ...
我们可以使用group_modify来完成这个任务。
library(dplyr)## ## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':## ## filter, lag## The following objects are masked from 'package:base':## ## intersect, setdiff, setequal, unionage_groups <- group_by(pf,age)pf.fc_by_age1 <- summarise(age_...
of 2 variables: ## $ rd : num 2.78 3.23 4.2 4.87 5.12 6.21 7.18 8.05 8.56 9.6 ... ## $ group: chr "rd1" "rd1" "rd1" "rd1" ... 进行Levene检验: library(car) ## 载入需要的程辑包:carData leveneTest(rd ~ group, data = df) ## Levene's Test for Homogeneity of ...
The odds ratio (OR) provides a measure of the strength of relationship between two variables, most commonly an exposure and a dichotomous outcome. It is most commonly used in a case control study where it is defined as “the ratio of the odds of being exposed in the group with the outcom...
ggwithinstats() Within group/condition comparisons ✅ ✅ ✅ ✅ gghistostats(), ggdotplotstats() Distribution of a numeric variable ✅ ✅ ✅ ✅ ggcorrmat Correlation matrix ✅ ✅ ✅ ✅ ggscatterstats() Correlation between two variables ✅ ✅ ✅ ✅ ggpiestats(), gg...
is a measure of the linear dependence (correlation) between two variables X and Y. It has a value between +1 and −1 inclusive, where 1 is total positive linear correlation, 0 is no linear correlation, and −1 is total negative linear correlation ...
group_by(性别) %>% summarise(是否留过级 = sum(是否留过级)) 看来,留级的学生人数在男女之间有很大的不同,更多的男学生留级。更多没有接受过学前教育的学生留级。这一观察结果表明,性别和学前教育可能对留级有预测作用。 构建二元逻辑回归模型 R默认安装了基础包,其中包括运行GLM的glm函数。glm的参数与lm的参...
(7)everything(): selects all variables. ":" 选择连续列,contains来匹配列名 同样类似于R自带的subset() 函数. 3.1.5 添加新变量mutate 对已有列进行数据运算并添加为新列: mutate_each() 对每一列运行窗体函数。 plyr::mutate() 与 base::transform() 相似, 优势在于可以在同一语句中对刚增加的列进行...