R语言修改图中字体为new time r语言怎么改字体大小

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mob64ca14193248 2023-08-25 16:51:55

文章标签 R语言修改图中字体为new time linux中java调用R语言 spark sql hdfs 文章分类 R语言后端开发

Standalone模式：Standalone模式运行的Spark集群对不同的应用程序采用先进先出(FIFO)的顺序进行调度。默认情况下每个应用程序会独占所有可用节点的资源。

现在版本的SparkR只能运行在standalone模式下

问题1：安装问题

由于R涉及到Fortran语言，要下载gcc-gfortran包

安装步骤：1)将R-3.2.3.tar.gz解压 2)./configure 3)make 4)make install(这步可以没有) 5)配置环境变量 vi .bash_profile

./configure的时候会出现以下错误：

--with-readline=yes (default) and headers/libs are not available 这是由于需要依赖readline-devel包的缘故 yum install readline-devel即可

configure: error: cannot compile a simple Fortran program 这是由于需要依赖gcc-gfortran包的缘故 yum install gcc-gfortran即可

configure: error: --with-x=yes (default) and X11 headers/libs are not available 这是由于需要依赖libXt-devel包的缘故 yum install libXt-devel即可

以上步骤依赖了较多的包：①gcc ②gcc-c++ ③readline-devel ④gcc-gfortran ⑤libXt-devel

yum install libXt-devel
yum install readline-devel
yum install gcc
yum install gcc-c++
yum install gcc-gfortran
tar -zxvf R-3.2.3.tar.gz
cd R-3.2.3
./configure
make

问题2：

unsupported URL scheme

Warning: unable to access index for repository https://rweb.crmda.ku.edu/cran/src/contrib

镜像问题，解决方式有两种：1)换镜像，即在选择的时候改 2)install.packages("RODBC", dependencies = TRUE, repos = "http://cran.rstudio.com/")

问题3：在安装R包的时候遇见错误

configure: error: "ODBC headers sql.hand sqlext.h not found"

是因为没有在Linux 下安装ODBC包。RODBC 需要 unixODBC 和unixODBC development 包，使用YUM 安装之后即可解决。

yum install unixODBC

yum install unixODBC-devel

则之后再install.packages("RODBC", dependencies = TRUE, repos = "http://cran.rstudio.com/")

一直连不上远程数据库，要查看一下是不是网络不通，ping一下远程主机。

SparkR编程示例：

#如果直接调用的sparkR,则不用设置Sys.setenv和.libPaths，直接library(SparkR)即可
#Sys.setenv(SPARK_HOME = "D:/StudySoftWare/Spark/spark-1.5.2-bin-hadoop2.6")
#.libPaths(c(file.path(Sys.getenv("SPARK_HOME"),"R","lib"), .libPaths()))
library(SparkR)
sc 
#sc 
sqlContext 
DF 
head(DF)
localDF 
df 
# Print its schema
printSchema(df)
# root
#  |-- name: string (nullable = true)
#  |-- age: double (nullable = true)
# Create a DataFrame from a JSON file
path 
peopleDF 
printSchema(peopleDF)
# Register this DataFrame as a table.
registerTempTable(peopleDF, "people")
# SQL statements can be run by using the sql methods provided by sqlContext
teenagers = 13 AND age <= 19")
# Call collect to get a local data.frame
teenagersLocalDF 
# Print the teenagers in our dataset
print(teenagersLocalDF)
# Stop the SparkContext now
sparkR.stop()
Java.io.IOException: Cannot run program "Rscript": error=2, No such file or directory  遇到这种错误是因为：
looks like the issue was that code was looking for Rscript under "/usr/bin". Our default installation was /usr/revolutionr.
Just created a link Rscript in /usr/bin that points to /usr/revolution/bin/Revoscript

示例二：wordCount

library(SparkR)

sparkR.stop()

#调用sparkR的时候会自动的初始化一个SparkContext，默认是local模式

sc 192.168.133.11

:7077","WordCount")#sparkR.init(master = "", appName = "SparkR",sparkHome = Sys.getenv("SPARK_HOME"), sparkEnvir = list(),sparkExecutorEnv = list(), s#parkJars = "", sparkPackages = "")

lines

words

wordCount

counts

#如果要保存到hdfs中，则path要写成"hdfs://namenode主机名/user/root/test/sparkR.txt") path要给出全路径

SparkR:::saveAsTextFile(counts, "hdfs://namenode主机名/user/root/test/sparkR.txt")

##如果要保存到hdfs中，则path要写成"hdfs://namenode主机名/user/root/test/sparkR.txt") path要给出全路径

##如果要将createDataFrame(hc,生成的 sparkr dataframe 以文件形式存到hive中需要先将其转为rdd

data_in_rdd

SparkR:::saveAsTextFile(data_in_rdd, evo_table_name_lower_with_path)

output

R语言学习笔记之&colon; 论如何正确把EXCEL文件喂给R处理