统计软件SAS教程SAS练习.docx
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统计软件SAS教程SAS练习
统计软件SAS教程SAS练习
libnamedy'd:
\dzwj';datady.by_student;
procprintdata=dy.c9501;bysex;/*分类*/
run;
procprint;
run;
（女性一栏无法输出，并且满足条件的男性没有输出来）
libnamedy'd:
\dzwj';datady.sum_bkmoney;
procprintdata=dy.bkmoneynoobs;sumamount;/*sum函数求和*/
run;
libnamedy'd:
\dzwj';
procsortdata=dy.c9501;byname;
procsortdata=dy.bkmoney;
byname;
datady.c9501bk;
mergedy.c9501dy.bkmoney;/*merge横向合并*/byname;
run;
procsortdata=dy.c9501bk;
bysex;
procprintdata=dy.c9501bk;
bysex;
sumamount;
run;
libnamedy'd:
\dzwj';datady.table_c9501bk;
proctabulatedata=dy.c9501bk;/*tabulate分类汇总*/
classsex;
varamount;
tablesex,amount;
run;
procprint;
run;
（出现乱码）
libnamedy'd:
\dzwj';datady.meanstd_c9501;
proctabulatedata=dy.c9501bk;classsex;
varmathchinese;
tablesex,（mathchinese）*（meanstd）;/*求变量的均值*/
run;
procprint;
run;
libnamedy'd:
\dzwj';datady.meanstd_c9501;
proctabulatedata=dy.c9501bk;classsex;
varmathchinese;
tableallsex,（mathchinese）*（meanstd）;/*求所有的变量的均值*/
run;
procprint;
run;
libnamedy'd:
\dzwj';datady.meanstd_c9501;
proctabulatedata=dy.c9501bk;classsex;
varmathchinese;
table（sexall）*（NPCTN）;/*频数分布*/run;
procprint;
run;
libnamedy'd:
\dzwj';datady.meanstd_c9501;
proctabulatedata=dy.c9501bk;classsex;
varmathchinese;
table（sexall）*math*（meanstd）;/*指定变量math的均值和方差*/
run;
procprint;
run;
libnamedy'd:
\dzwj';datady.meanstd_c9501;
proctabulatedata=dy.c9501bk;classsex;
varmathchinese;
table（sexall）,（mathchinese）*（meanstd）;/*统计量加标签*/
keylabelmean='平均值'std='标准差'all='总计';labelsex='性别'math='数学'chinese='语文';run;
procprint;
run;
libnamedy'd:
\dzwj';datady.meanstd_c9501;
proctabulatedata=dy.c9501bk;classsex;
varmathchinese;
table（sexall='总计'）,（mathchinese）*（mean='平均值'std='标准差'）;/*统计量加标签，标签加
在其中*/
labelsex='性别'math='数学'chinese='语文';run;
procprint;
run;
（结果如上图所示）
libnamedy'd:
\dzwj';datady.by_sex;
procsortdata=dy.c9501;
bysex;
run;
procprint;
run;
libnamedy'd:
\dzwj';datady.by_sex;
procsortdata=dy.c9501;
bysexdescendingmath;run;
procprint;
run;
（矩阵的转置没有实现，165页）
libnamedy'd:
\dzwj';datady.means_c9501;
procmeansdata=dy.c9501;/*描述性统计*/run;
procprint;
run;
libnamedy'd:
\dzwj';datady.freq_c9501;
procfreqdata=dy.c9501;/*求频率和累计值*/tablessex;
run;
procprint;
run;
第五章多元统计分析主分量分析:
LIBNAMEdy'd:
\dzwj';
DATAdy.TEMPERAT;
INPUTCITY$JANUARYJULY;
CARDS;
MOBILE10.727.6
PHOENIX10.732.9
LITTLEROCK4.227.4
SACRAMENTO7.324.0
DENVER-1.222.8
HARTFORD-4.022.6
WILMINGTON0.024.3
WASHINGTONDC2.025.9
JACKSONVILLE12.627.2
MOBILE10.727.6
PHOENIX10.732.9
LITTLEROCK4.227.4
SACRAMENTO7.324.0
DENVER-1.222.8
HARTFORD-4.022.6
WILMINGTON0.024.3
WASHINGTONDC2.025.9
JACKSONVILLE12.627.2
SIOUXFALLS-9.922.9
MEMPHIS4.726.4
NASHVILLE3.526.4
DALLAS7.129.3
ELPASO6.427.9
HOUSTON11.228.5
SALTLAKECITY-2.224.8
BURLINGTON-8.421.0
NORFOLK4.725.7
RICHMOND3.125.5
SPOKANE-3.720.9
CHARLESTON,WV1.423.9
MILWAUKEE-7.021.1
CHEYENNE-3.020.6
;
PROCPRINCOMPCOVOUT=PRIN;/*主分量也就是主成分的意思，out保护原始数据和主分
量得分的数据集从协方差阵出发计算主分量*/
VARJULYJANUARY;
RUN;
libnamedy'd:
\dzwj';
datady.crime;
title'各州每十万人的犯罪率';
INPUTSTATE$MURDERRAPEROBBERYASSAULT
BURGLARYLARCENYAUTO;
CARDS;
ALABAMA14.225.296.8278.31135.51881.9280.7
ALASKA10.851.696.8284.01331.73369.8753.3
ARIZONA9.534.2138.2312.32346.14467.4439.5
ARKANSAS8.827.683.2203.4972.61862.1183.4
CALIFORNIA11.549.4287.0358.02139.43499.8663.5
COLORADO6.342.0170.7292.91935.23903.2477.1
CONNECTICUT4.216.8129.5131.81346.02620.7593.2
DELAWARE6.024.9157.0194.21682.63678.4467.0
FLORIDA10.239.6187.9449.11859.93840.5351.4
GEORGIA11.731.1140.5256.51351.12170.2297.9
HAWAII7.225.5128.064.11911.53920.4489.4
IDAHO5.519.439.6172.51050.82599.6237.6
ILLINOIS9.921.8211.3209.01085.02828.5528.6
INDIANA7.426.5123.2153.51086.22498.7377.4
IOWA2.310.641.289.8812.52685.1219.9
KANSAS6.622.0100.7180.51270.42739.3244.3
KENTUCKY10.119.181.1123.3872.21662.1245.4
LOUISIANA15.530.9142.9335.51165.52469.9337.7
MAINE2.413.538.7170.01253.12350.7246.9
MARYLAND8.034.8292.1358.91400.03177.7428.5
MASSACHUSETTS3.120.8169.1231.61532.22311.31140.1
MICHIGAN9.338.9261.9274.61522.73159.0545.5
MINNESOTA2.719.585.985.81134.72559.3343.1
MISSISSIPPI14.319.665.7189.1915.61239.9144.4
MISSOURI9.628.3189.0233.51318.32424.2378.4
MONTANA5.416.739.2156.8804.92773.2309.2
NEBRASKA3.918.164.7112.7760.02316.1249.1
NEVADA15.849.1323.1355.02453.14212.6559.2
NEWHAMPSHIRE3.210.723.276.01041.72343.9293.4
NEWJERSEY5.621.0180.4185.11435.82774.5511.5
NEWMEXICO8.839.1109.6343.41418.73008.6259.5
NEWYORK10.729.4472.6319.11728.02782.0745.8
NORTHCAROLINA10.617.061.3318.31154.12037.8192.1
NORTHDAKOTA0.99.013.343.8446.11843.0144.7
OHIO7.827.3190.5181.11216.02696.8400.4
OKLAHOMA8.629.273.8205.01288.22228.1326.8
OREGON4.939.9124.1286.91636.43506.1388.9
PENNSYLVANIA5.619.0130.3128.0877.51624.1333.2
RHODEISLAND3.610.586.5201.01489.52844.1791.4
SOUTHCAROLINA11.933.0105.9485.31613.62342.4245.1
SOUTHDAKOTA2.013.517.9155.7570.51704.4147.5
TENNESSEE10.129.7145.8203.91259.71776.5314.0
TEXAS13.333.8152.4208.21603.12988.7397.6
UTAH3.520.368.8147.31171.63004.6334.5
VERMONT1.415.930.8101.21348.22201.0265.2
VIRGINIA9.023.392.1165.7986.22521.2226.7
WASHINGTON4.339.6106.2224.81605.63386.9360.3
WESTVIRGINIA6.013.242.290.9597.41341.7163.3
WISCONSIN2.812.952.263.7846.92614.2220.7
WYOMING5.421.939.7173.9811.62772.2282.0
;
PROCPRINCOMPCOVOUT=CRIMCOMP;
RUN;
PROCSORT;
BYPRIN1;
PROCPRINT;
IDSTATE;
VARPRIN1PRIN2MURDERRAPEROBBERYASSAULT
BURGLARYLARCENYAUTO;
TITLE2'各州按第一主分量作为金钱犯罪与暴力对比的排列';
PROCSORT;
BYPRIN2;
PROCPRINT;
IDSTATE;
VARPRIN1PRIN2MURDERRAPEROBBERYASSAULT
BURGLARYLARCENYAUTO;
TITLE2'各州按第二主分量作为金钱犯罪与暴力对比的排列';
GOPTIONSFTEXT='宋体';
PROCGPLOT;
PLOTPRIN2*PRIN1=STATE;
TITLE2'前两个主分量的散点图';
PROCGPLOT;
PLOTPRIN3*PRIN1=STATE;
TITLE2'第一、三主分量的散点图';
RUN;
因子分析:
libnamedy'd:
\dzwj';
DATAdy.SOCECON;
TITLE'五个经济指标的分析';
INPUTPOPSCHOOLEMPLOYSERVICESHOUSE;
CARDS;
570012.8250027025000
100010.96001010000
34008.81000109000
380013.6170014025000
400012.8160014025000
82008.326006012000
120011.44001016000
910011.533006014000
990012.5340018018000
960013.7360039025000
96009.633008012000
940011.4400010013000
;
PROCFACTORDATA=dy.SOCECONSIMPLECORR;/*因子分析，就进行简单的相关性*/
TITLE2'主分量分析';
RUN;
判别分析:
和聚类分析比较难懂
第四章基本统计分析
升级会员 