R语言求一行(列表、list)数据的平均数操作

x=c(1,3,5,7,9)
max(x)
#这样即可求得平均数为 ： 5

data = read.csv(“input.csv",sep=",",header=T)
rowMeans(data[10:17])

###################################################
# - Filename : washData.R
# - Author : Johan Version : 1.0 Date : 2018/5/3
# - Discription : 将excel表中的数据分10min计算平均值
#     并保存到excel
# - Function list : 
# 1.
# - Others : 
# 1.本程序可分析.xls或.csv文件
###################################################
# 引用包
library(RODBC)
# 设置工作目录
setwd("H:/mySoftware/R/myData")
# 导入数据到myDataFrame，文件名根据需要改变
# 打开th_record2.xls，并读取表Sheet1
channel <- odbcConnectExcel2007("th_record2.xls")
myDataFrame <- sqlFetch(channel, "Sheet1")
odbcClose(channel)
# 为myDataFrame增加列名
dataColName <- c("temp","humi","time","year","month","day","hour","minute","second")
names(myDataFrame) <- dataColName
# 初始化缓存向量
# 时分秒为起始量，可修改
NUM <- c()   # 编号
TEMP <- c()   # 温度
HUMI <- c()   # 湿度
t <- 0    # 温度缓存
h <- 0    # 湿度缓存
num <- 0    # 编号缓存
dn <- 0    # 计数器
flag <- FALSE  # 保存指示
# 循环处理数据
for(i in 1 : 31600){
 
 # 当前分钟是否为10的倍数
 if(myDataFrame$minute[i] %% 10 == 0){
 
 # 计算上一组数据的均值并保存
 if(flag){
  t <- t / dn
  h <- h / dn
  TEMP <- c(TEMP, t)
  HUMI <- c(HUMI, h)
  num <- num + 1
  NUM <- c(NUM, num)
  flag <- FALSE
 }
 
 # 缓存复位
 dn <- 0
 t <- 0
 h <- 0
 
 # 添加记录
 t <- t + myDataFrame$temp[i]
 h <- h + myDataFrame$humi[i]
 dn <- dn + 1 
 }
 
 else{
 
 # 添加记录
 t <- t + myDataFrame$temp[i]
 h <- h + myDataFrame$humi[i]
 dn <- dn + 1
 flag <- TRUE 
 }
}
# 构建新数据框
newFrame <- data.frame(NUM, TEMP, HUMI)
newName <- c("number","temp","humi")
names(newFrame) <- newName
# 写入.csv文件
write.csv(newFrame, "new_th_record.csv")
# 绘图
plot(newFrame$number, newFrame$temp, pch=20, lty=3, col="red")
lines(newFrame$number, newFrame$humi, pch=20, lty=3, col="blue")

pdf("new_th_record.pdf")
plot(newFrame$number, newFrame$humi, pch=20, lty=3, col="blue")
lines(newFrame$number, newFrame$temp, pch=20, lty=3, col="red")
dev.off()