I have a calculate field (called TOTAL) on Tableau which is connected to R studio to create outputs through R (the R code is written inside the Calculate Field). The R code has a function that returns a bunch of 100 and 50 in a function passing .arg's from Tableau, and the number ...
如果说tapply()和ddply()是两把不错的斧头,那aggregate()函数堪比一把金刚钻,使用起来非常灵活,极大方便了分组计算工作。 格式1: aggregate(x, by, FUN, ...) #x为数据集中需要计算的字段 #by为分组依据 #FUN为需要向分组数据应用的函数 格式2: aggregate(formula, data, FUN, ...) #formula为数据公式,...
("E:\\QUKAI\\R语言与统计分析\\code") xx03 <- data.frame(stunames=c("王一","张二","陈三","李四","孙六")) #quote=T,文件中的数据用引号修饰 #row.names = T,不设置行名 write.table(xx03,"xx03.txt",row.names = T, quote=T) write.csv(xx03,"xx03.csv",row.names = F, ...
error.bar <- function(x,y,upper,lower=upper,length=0.1,...){ arrows(x,y+upper,x,y-lower,angle = 90,code = 3,length = length,...) } stdev=aggregate(cbind(dose_1,dose_2,dose_3)~treatment,data = data,sd) rownames(stdev)=stdev[,1] stdev=as.matrix(stdev[,-1])*1.96/10 ze...
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My favourite use of aggregate with a base function is getting the last day of each month in a series of dates. To do so, one can use the following code (assuming your dates are stored in a “YYYY-MM-DD” format as strings or as Date): dates <- data.frame(date = as.Date("2001...
在之前R语言基础教程——第3章:数据结构——向量中我们介绍过向量的加减乘除运算,在这里介绍一下>,<运算。 代码语言:javascript 复制 >x=c(88,5,12,13)>y=c(98,3,14,9)>z=c(90,12,34,45,5,3)>x>y[1]FALSETRUEFALSETRUE>x<y[1]TRUEFALSETRUEFALSE>x>z[1]FALSEFALSEFALSEFALSETRUETRUEWarning ...
My favourite use of aggregate with a base function is getting the last day of each month in a series of dates. To do so, one can use the following code (assuming your dates are stored in a “YYYY-MM-DD” format as strings or as Date): dates <- data.frame(date = as.Date("2001...