[英]Normalizing data with a mean of 0 and a standard deviation of 0.5 in R
如果您具有正態（0，sd = 1）分布並且想要正態（0，sd = .5），只需乘以.5。 看到
# x ~ Normal(0,1)
x<-rnorm(10000)
mean(x)
# [1] 0.003044746
sd(x)
# [1] 0.9987472
#transform
y <- .5*x
mean(y)
# [1] 0.001522373
sd(y)
# [1] 0.4993736
如何通過在 R 中創建額外的列（均值和標准差）來獲得相同數據幀的均值和標准差的結果
[英]How to get the results of a mean and standard deviation to the same data frame by creating extra columns (mean and standard deviation) in R
繪制R中數據框中每個數值的平均值和標准差
[英]Plotting mean and standard deviation for every numeric value in data frame in R
R 中以下變量均值的均值、標准差和 95% 置信區間
[英]The mean, standard deviation and 95% confidence interval for the mean of the following variables in R
如何生成均值，標准偏差相同但R中形狀或分布完全不同的數據？
[英]How do I generate data that have the same mean, standard deviation but very different shapes or distributions in R?
R，bit64，計算data.table中的行均值和標准差的問題
[英]R, bit64, problems calculating row mean and standard deviation in data.table
在 R data.table 中，如何使用訓練集的均值和標准差來標准化測試集
[英]In R data.table, how to standardize test set with mean and standard deviation of the training set
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