> n <- matrix(1:20, nrow = 4, ncol = 6) Warning message: In matrix(1:20, nrow = 4, ncol = 6) : data length [20] is not a sub-multiple or multiple of the number of columns [6] > n <- matrix(1:20, nrow = 4, ncol = 4) > n [,1] [,2] [,3] [,4] [1,] ...
df_unite(): Unite multiple columns into one. df_unite_factors(): Unite factor columns. First, order factors levels then merge them into one column. The output column is a factor. df_label_both(),df_label_value(): functions to label data frames rows by by one or multiple grouping varia...
4.1.6 简单汇总统计 最常用的是summary(),其他的还有mean(), median(), min(), max()。它们经常和apply系列函数结合使用: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 iris_1<-(iris[,-5])head(apply(iris_1,1,mean))#[1]2.52.42.42.42.52.9apply(iris_1,2,mean)# Sepal.Length Sepal.Wi...
data = df11_1) summary(f1) ## Df Sum Sq Mean Sq F value Pr(>F) ## x1 1 ...
> mean(x[,3])#求第三列的平均值[1] 10.5 >var(x[2,]) #求第2行的方差 >colsums(x) #列和 >rowsums(x) #求行和 >rowmeans(x)#行平均 >colmeans(x)#列平均 也可以使用apply()函数实现。 Apply(x, margin,FUN,…..) x为矩阵或数组 margin用来指定行或列运算,=1为对行运算,=2为对列运算...
## Df Sum Sq Mean Sq F value Pr(>F) ## trt 3 32.16 10.719 24.88 1.67e-12 *** ## Residuals 116 49.97 0.431 ## --- ## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 结果显示组间自由度为3,组内自由度为116,组间离均差平方和为32.16,组内离均差平方和...
aggregate(. ~ Species, data = iris, mean) #出len以外的变量作为分组变量 head(ToothGrowth) aggregate(len ~ ., data = ToothGrowth, mean) #将结果转换成列联表 xtabs(len ~ ., data = ag) #ts数据对象presidents的frequency为4(1年4个季度的数据) ...
However, it would also be possible to compute other descriptive statistics such as the mean or the variance.Also, note that we have converted our final output from the tibble to the data.frame class. In case you prefer to work with tibbles, you may remove the last line of the previous ...
(x)=0#xupper.tri(x)=0;diag(x)=0 x=array(runif(24),c(4,3,2);xis.matrix(x) #可由dim(x)得到维数(4,3,2)is.matrix(x1,)x=array(1:24,c(4,3,2)xc(1,3),x=array(1:24,c(4,3,2)apply(x,1,mean)apply(x,1:2,sum)apply(x,c(1,3),prod)矩阵/高维数组/scale#矩阵与...
2)Example 1: Sums of Columns Using dplyr Package 3)Example 2: Sums of Rows Using dplyr Package 4)Video & Further Resources Let’s do this: Example Data & Add-On Packages First, we have to create some example data: data<-data.frame(x1=1:5,# Example datax2=c(NA,5,1,1, NA), ...