Stata 鐭╅樀鎿嶄綔

Posted

tags:

篇首语:本文由小常识网(cha138.com)小编为大家整理,主要介绍了Stata 鐭╅樀鎿嶄綔相关的知识,希望对你有一定的参考价值。

鏍囩锛?a href='http://www.mamicode.com/so/1/matrix' title='matrix'>matrix   闄勫姞   tle   trace   rod   瀹氫箟   varname   缁撴灉   鍛戒护   

涓€銆佺敓鎴愮煩闃?/p>

matrix 鐭╅樀鍚?= (1,2,3  4,5,6)
鍙橀噺杞煩闃?mkmat
鐭╅樀杞彉閲?svmat

浜?/p>

 1 matrix list 鐭╅樀鍚?[, noblank nohalf noheader nonames format(%fmt) title(string) nodotz]               // 鍒楃ず鐭╅樀
 2 * 鏇翠负缁嗚嚧鍦板垪绀虹煩闃? 3 #delimit ;
 4 matrix Htest = ( 12.30,  2,  .00044642   
 5                   2.17,  1,  .35332874                      
 6                   8.81,  3,  .04022625   
 7                  20.05,  6,  .00106763  ) ;
 8 #delimit cr
 9 matrix rownames Htest = trunk length weight overall  // 瀹氫箟琛屽悕
10 matrix colnames Htest = chi2 df p                    // 瀹氫箟鍒楀悕
11 matlist Htest                                        // 娣诲姞杈规
12 matrix rename 鍘熺煩闃靛悕 鏂扮煩闃靛悕    // 鐭╅樀鏇村悕  
13 * 鐭╅樀鐨勮鏁板拰鍒楁暟
14 matrix 鐭╅樀鍚?= (1,2,3  4,5,6)
15 scalar ra = rowsof(鐭╅樀鍚?
16 scalar ca = colsof(鐭╅樀鍚?
17 dis in g "鐭╅樀 鐭╅樀鍚?鐨勮鏁版槸: " in y ra 
18 dis in g "鐭╅樀 鐭╅樀鍚?鐨勫垪鏁版槸: " in y ca  
19 matrix dir                   // 鏌ユ壘鐭╅樀
20 matrix drop 鐭╅樀鍚?          // 鍒犻櫎鐭╅樀       
21 display matmissing(鐭╅樀鍚?   // 鏄剧ず鐭╅樀缂烘紡鍊间釜鏁?/span>
22 * 鐭╅樀鐨勮鍚嶅拰鍒楀悕
23 matrix rownames 鐭╅樀鍚?= 琛屽悕(绌烘牸鍒嗛殧)       // 琛屽悕
24 matrix colnames 鐭╅樀鍚?= 鍒楀悕(绌烘牸鍒嗛殧)       // 鍒楀悕
25 * 鐭╅樀鐨勯€夋嫨
26 matrix 鏂扮煩闃靛悕 = 鐭╅樀鍚峓琛岀储寮?鍒楃储寮昡        // 涓棿鐪佺暐锛?. 鍏ㄩ儴鐪佺暐锛?... 灏鹃儴鐪佺暐锛?..
27 matrix 鐭╅樀涓兂瑕佷慨鏀圭殑鍏冪礌 = 淇敼鍊?          // 濡傛灉鎯宠淇敼鍖哄煙锛屽彧闇€鍦ㄧ瓑鍙峰乏渚у~鍏ヤ慨鏀瑰尯鍩熷乏涓婅鐨勫厓绱犱綅缃嵆鍙?/span>
28 * 鐭╅樀鐨勫悎骞?29 matrix aa  = [a1, a2]   // 妯悜鍚堝苟涓や釜鐭╅樀 
30 matrix aaa = [a1  a2]  // 绾靛悜杩藉姞涓や釜鐭╅樀
31 * 甯哥敤鐭╅樀鐨勫畾涔?32 matrix I = I(n)         // 鍗曚綅鐭╅樀
33 matrix 鐭╅樀鍚?= J(琛屾暟,鍒楁暟,甯告暟)
34 matrix r3 = matuniform(10,4)  // 鐢熸垚涓€涓?0*4鐨勯殢鏈烘暟鐭╅樀锛岄殢鏈烘暟鍖洪棿涓?0,1)
35 * 灏嗕竴缁寸煩闃佃浆鎹㈡垚瀵硅鐭╅樀
36 mat u = J(5,1,-0.5)
37 mat du = diag(u)  // 鍙栧嚭瀵硅鍏冪礌
38 * 灏嗗彉閲忚浆鎹负鐭╅樀
39 mkmat varlist [if] [in] [, matrix(matname) nomissing   // 鍗曞彉閲忥細鐭╅樀鍚嶉粯璁や负鍙橀噺鍚嶏紝閫夐」nomissing琛ㄧず浠呭寘鍚潪缂烘紡鍊?/span>
40 * 灏嗙煩闃佃浆鍖栦负鍙橀噺
41 xsvmat 鐭╅樀鍚? list(,)                                 // 浠ュ彉閲忔柟寮忓垪绀虹煩闃电殑鍐呭
42 * 鐢ㄧ煩闃靛瓨鍌ㄧ粺璁$粨鏋?43  makematrix [matrix_name], from(results_list) [production_options] [list_options]:["]command["] [varlist] ... [, options ]
44  * 鐭╅樀杩愮畻
45  mgen exprlist , in(matname) out(matname) [ common(term) ]   // in-杩涜鎿嶄綔鐨勭煩闃?out-鏂扮煩闃?exprlist锛氭暟瀛﹁〃杈惧紡
46  * 淇濆瓨鐭╅樀
47  matsave matrix [, replace saving dropall path(path) type(type) ]  // 淇濆瓨鍒癲ta涓?/span>
48  mat2txt , matrix(matrixname) saving(filename) [ title(text) note(text) format(formatlist) replace append ] // 淇濆瓨涓簍xt鏍煎紡
49  dataout <using filename> [, options]   // word:杞垚rtf鏍煎紡鐨剋ord鏂囨。 excel:杞垚xml鏍煎紡鐨別xcel鏂囨。

涓?/p>

 1 * 鍩烘湰杩愮畻
 2 matrix A = (1,23,4)
 3 matrix B = (5,79,2)
 4 matrix C = A+B             // 鍔犳硶
 5 matrix B = A-B             // 鍑忔硶
 6 matrix X = (1,12,58,04,5)
 7 matrix C = 3*X*A鈥?/span>*B        // 涔樻硶
 8 matrix D = (X鈥?/span>*X - A鈥?/span>*A)/4
 9 matrix D = A#D               // 鐩翠箻
10 matrix E = hadamard(A,B)     // Hadamard涔樻硶
11 * 鐭╅樀鍏冪礌鐨勬暟瀛﹀彉鎹?12 math B = function(A)         // 鍙緵璋冪敤鐨刦unction锛?help math functions
13 mgen exprlist , in(matname) out(matname) [ common(term) ]  // 鍒嗗垪鍙樻崲锛?v1=ln(c1)" 涓嶅彲浠ュ啓涓?"v1 = ln(c1)"
14 * 鐭╅樀涓庡崟鍊肩殑杩愮畻
15 scalar c = 5                 // 鍗曞€糲
16 mat D = J(4,4,1)             // 鐭╅樀D
17 mat Dc = D*c                 // mat cD = c*D   鐭╅樀涓庡崟鍊肩浉涔?/span>
18 mat D_c = D/c                // 鐭╅樀涓庡崟鍊肩浉闄?/span>
19 * 鐭╅樀鐨勮浆缃? 琛屽垪浜掓崲
20 matrix A = (-1, 2  3, 4 )
21 mat At = A鈥?/span>                  // 杞疆杩愮畻浼樺厛浜庝箻娉曡繍绠?/span>
22 * 鐭╅樀鐨勯€嗙煩闃?23 scalar detA = det(A)         // 鐭╅樀鐨勮鍒楀紡
24 dis issym(A)                 // 鍒ゆ柇涓€涓煩闃垫槸鍚︿负瀵圭О鐭╅樀
25 mat invA = inv(A)            // 姹傜煩闃电殑閫嗙煩闃?/span>
26 * 鐭╅樀鐨勫悜閲忓寲
27 mat vA = vec(A)
28 mat dA = vecdiag(A)          // 鍚戦噺鍖栨柟闃电殑瀵硅鍏冪礌
29 * 鐭╅樀鐨勫瑙掑€?trace)
30 matrix Atr = trace(A)        // 鏂归樀鐨勫瑙掑厓绱犱箣鍜?/span>

鍥?/p>

matrix accum A = varlist [if] [in] [weight] [, noconstant deviations means(M) absorb(varname)]  // matrix accum 璇硶
matrix vecaccum a = varlist [if] [in] [weight] [, noconstant]                                   // matrix vecaccum璇硶
*- 鍑犱釜閲嶈閫夐」锛?*  (1) noconstant 涓嶅湪 X 鐭╅樀涓嚜鍔ㄩ檮鍔犲父鏁伴」锛?*  (2) deviation  閲囩敤绂诲樊鐨勫舰寮?
*-eg1- 绾挎€фā鍨嬬殑 OLS 浼拌 
*-鐩殑锛氭眰鍙?b = inv(X鈥?/span>X)*X鈥?/span>y
* 鍏朵腑锛寉 = price, 
*       X =(weight,mpg,Cons)
sysuse auto, clear
* 鏂规硶1锛氫粎浣跨敤 matrix accum 鍛戒护
* 鎬濊矾: 鑻?A = (y, X)锛?鍒?*
*                                       [ y鈥?/span>y  y鈥?/span>X ]
*   mat accum (A) = S = (y, X)鈥?/span>(y, X) = [          ]
*                                       [ X鈥?/span>y  X鈥?/span>X ]
matrix accum S = price weight mpg  // y=price, X=[weight mpg]
mat list S
matrix XX = S[2..., 2...] 
matrix Xy = S[2..., 1]
mat b = inv(XX)*Xy
mat list b
reg price weight mpg,nohead       // 妫€楠屼笂杩扮粨鏋?/span>
* 鏂规硶2锛氱粨鍚堜娇鐢?matrix accum 鍜?matrix vecaccum
mat accum XX = weight mpg
mat vecaccum yX = price weight mpg
mat Xy = yX鈥?mat b = inv(XX)*Xy
mat list b
reg price weight mpg, noheader   // 妫€楠屼笂杩扮粨鏋?/span>
* -eg2- 鑾峰彇鍙橀噺鐨勭浉鍏崇郴鏁扮煩闃?sysuse auto, clear
corr price weight mpg length
* 鍔犳潈浜や箻鐭╅樀   -mat glsaccum-
matrix glsaccum A = varlist [if] [in] [weight], group(groupvar) glsmat(W|stringvar) row(rowvar) [noconstant]   // 鍩烘湰璇硶
*-mat glsaccum 鐨勫畾涔夛細mat glsaccum(X) = S = X鈥?/span>BX
* 鍏朵腑锛孊 涓烘潈閲嶇煩闃碉紝瀹氫箟濡備笅锛?*       [ W_1   0   ...   0  ]
*       |  0   W_2  ...   0  |
*   B = |  .    .    .    .  |    W_k(k=1,2,...,K) 琛ㄧず绗?k 缁勮瀵熷€肩殑鏉冮噸鐭╅樀锛屾槸涓€涓柟闃?*       |  .    .     .   .  |
*       [  0    0   ...  W_k ]
*  鑻?X 涔熸牴鎹粍鍒畾涔夛紝鍒欏彲琛ㄧず涓猴細
*        [ X_1 ]
*        | X_2 | 
*    X = |  .  |
*        |  .  | 
*        [ X_k ]
*  鐢辨鍙互鏇翠负缁嗚嚧鐨勪簡瑙e埌 glsaccum 鐨勫畾涔夋柟寮忥細X鈥?/span>BX = X1鈥?/span>W1X1 + X2鈥?/span>W2X2 + ... + X_k鈥?/span>*W_k*X_k 
*- 搴旂敤涓句緥锛歐hite(1980) 寮傛柟宸ǔ鍋ユ€ф爣鍑嗚鐨勮绠?*  
*  Var(b) = inv(X鈥?/span>X)*(X鈥?/span>WX)*inv(X鈥?/span>X)  // White(1980)绋冲仴鎬ф柟宸?鍗忔柟宸煩闃?
*
*  鍏朵腑锛?*  
*       [ e1^2   0    ...    0  ]
*       |  0    e2^2  ...    0  |
*   W = |  .     .     .     .  |
*       |  .     .     .     .  |
*       [  0     0    ...  eN^2 ]  NXN 鐭╅樀
*
*  ei 琛ㄧず绗?i 涓瀵熷€煎搴旂殑娈嬪樊
*
*  闂鐨勫叧閿細姹傚緱 (X鈥?/span>WX) 鐭╅樀鍗冲彲锛屽彲閲囩敤 -mat glsaccum- 鍛戒护  
sysuse auto, clear
*-1 鑾峰緱OLS浼拌鍊?mat accum XX = weight mpg
mat vecaccum yX = price weight mpg
mat Xy = yX鈥?mat b = inv(XX)*Xy
mat list b
*-2 姹傚彇娈嬪樊涔嬪钩鏂瑰悜閲忥細e2
mkmat price, mat(y)
gen cons = 1
mkmat wei len mpg cons, mat(X) // 娉ㄦ剰闄勫姞甯告暟椤?/span>
mat e = y - X*b                // 娈嬪樊鍚戦噺

 

銆€銆€

以上是关于Stata 鐭╅樀鎿嶄綔的主要内容,如果未能解决你的问题,请参考以下文章

鎿嶄綔绯荤粺-鎿嶄綔绯荤粺-鍐呮牳涓殑灞忓箷鎵撳嵃(涓?

鏁版嵁搴撶瑪璁?馃搾 MySQL鍩虹鎿嶄綔鍛戒护 鍒嗙被娓呮櫚

Django--鍗曡〃鎿嶄綔

鑺傜偣鎿嶄綔

pandas 鎿嶄綔-2

Python鎿嶄綔es