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Name: difference_test Purpose: 平均値検定を行うプログラム。 χ二乗検定によって正規分布との適合を検定する。 どちらも正規分布に従う場合はWelch検定 どちらかが正規分布に従わない場合はマンホイットニー検定のみを用いる。 Syntax: difference_test,x,y,result,sl=** Keywords: result:検定結果を'0':ウェルチ検定使用-判定は異,'1':ウェルチ検定使用-判定は同,'2':マンホイットニー-異,'3':マンホイットニー-同、で返す sl:有意水準。指定しない場合はsl=0.05で検定。 test_sel:行う検定を指定。'2'はマンホイットニー検定、'1'はウェルチ検定、'0'はχ二乗検定によって正規分布との適合を検定 2012/12/13 改変 by 濵口
(See iugonet/tools/statistical_package/difference_test.pro)
NAME: Mann_Whitney_test PURPOSE: 2データ間の分布の差を検定する。 母集団の分布は問わない KEYWORDS: sl:significance level If you don't set sl, sl = 0.05 mv:missing value If you don't set mv, mv = only NaN 結果は分布が同じと判定されれば「3」、異なっていれば「2」を返す。 z:検定統計量 Z0:有意水準における標準正規分布の臨界値 c:コメント CODE: R. Hamaguchi, 13/02/2012. MODIFICATIONS: A. Shinbori, 01/05/2013. ACKNOWLEDGEMENT: $LastChangedBy: $ $LastChangedDate: $ $LastChangedRevision: $ $URL $
(See iugonet/tools/statistical_package/mann_whitney_test.pro)
name normality_test purpose カイ二乗適合度検定を用いて、正規分布に従っているか検定する syntax result=normality_test(x,sl=sl,mv=mv) Keywords: x:検定を行う観測データ sl:有意水準 入力しなければ5%で検定 mv:欠損値 入力しなければNaNのみを欠損値として処理; 結果は、正規分布に従っている場合は0、従っていない場合は1を返す CODE: R. Hamaguchi, 13/02/2012. MODIFICATIONS: A. Shinbori, 01/05/2013. ACKNOWLEDGEMENT: $LastChangedBy: $ $LastChangedDate: $ $LastChangedRevision: $ $URL $
(See iugonet/tools/statistical_package/normality_test.pro)
NAME: s_trans PURPOSE: Calculate the local power spectrum for given time-series data and return the structure which contains {st:, ph: freq:, time:} where st is the S Transform. SYNTAX: results = s_trans(time-series) KEYWOARDS: \help explains all the keywords and parameters \verbose flags errors and size \samplingrate if set returns array of frequency \maxfreq \minfreq \freqsmplingrate \piecewisenumber divides the time series, and passes back array \power returns the power spectrum \abs returns the absolute value spectrum \Rremoveedge removes the edge with a 5% taper, and takes out least-sqares fit parabola Added a "mask out edges" keyword, which STs a line (ie st of edges) and thresholds the returned st matrix. The value of masked edges is the percent at which to make the threshold default = 5 %. Added an EXAMPLE keyword, will display a time series and the amplitude of the ST to the current graphics device WARNING, will call !P.multi=0 ===================== Modified hilbert transform ================================ ;;;;;;;;;;;;;;;;;;;; + NAME: hilbert PURPOSE: Return a series that has all periodic terms shifted by 90 degrees. CODE: A. Shinbori, 04/06/2012. MODIFICATIONS: ACKNOWLEDGEMENT: $LastChangedBy: $ $LastChangedDate: $ $LastChangedRevision: $ $URL $
(See iugonet/tools/statistical_package/s_trans.pro)
NAME: trend_test PURPOSE: データの傾向性を検定。 SYNTAX: trend_test,y KEYWORDS: y:データ Z:統計検定量 sl:有意水準指定用 (Default is 0.05) CODE: R. Hamaguchi, 17/01/2013. MODIFICATIONS: A. Shinbori, 01/05/2013. ACKNOWLEDGEMENT: $LastChangedBy: $ $LastChangedDate: $ $LastChangedRevision: $ $URL $
(See iugonet/tools/statistical_package/trend_test.pro)
NAME: uchange_point_checker PURPOSE: Identify the change point of time-serise data. SYNTAX: uchange_point_checker,vname1 CODE: R. Hamaguchi, 17/01/2013. MODIFICATIONS: A. Shinbori, 08/05/2013. ACKNOWLEDGEMENT: $LastChangedBy: $ $LastChangedDate: $ $LastChangedRevision: $ $URL $
(See iugonet/tools/statistical_package/uchange_point_checker.pro)
NAME: ucross_cor PURPOSE: Calculate the cross correlation between two time-serise data and perform a test of correlation. CALLING SEQUENCE: ucross_cor, vname1,vname2 INPUT: vname1 = first tplot variable name vname2 = second tplot variable name OUTPUT: cross_cor = cross correlation between two time-serise data x_cor = auto correlation of the first tplot variable y_cor = auto correlation of the second tplot variable KEYWORDS: sl = Significant level of correlation test. low_lag = lag time of left direction high_lag = lag time of right direction EXAMPLE: ucross_cor, tplot1, tplot2 CODE: R. Hamaguchi, 15/01/2013. MODIFICATIONS: A. Shinbori, 31/01/2013. ACKNOWLEDGEMENT: $LastChangedBy: $ $LastChangedDate: $ $LastChangedRevision: $ $URL $
(See iugonet/tools/statistical_package/ucross_cor.pro)
NAME: udata_interpolation PURPOSE: Perform the data interpolation for two time-serise data. CALLING SEQUENCE: udata_interpolation, vname1,vname2 INPUT: vname1 = first tplot variable name vname2 = second tplot variable name KEYWORDS: st_time0 = start time of data interpolation ed_time0 = end time of data interpolation reverse = exchange of two data sets If set, the data interplation is performed on the basis of time range of data2. set_interval = set up time interval to interplate the two data sets. If not set, the time interval is determined on the basis of the minimum interval in the two data sets. EXAMPLE: udata_interpolation, tplot1, tplot2 CODE: R. Hamaguchi, 15/01/2013. MODIFICATIONS: A. Shinbori, 20/02/2013. ACKNOWLEDGEMENT: $LastChangedBy: $ $LastChangedDate: $ $LastChangedRevision: $ $URL $
(See iugonet/tools/statistical_package/udata_interpolation.pro)
NAME: uspec_coh PURPOSE: Calculate the coherence and phase difference between two time-serise data. CALLING SEQUENCE: uspec_coh, vname1,vname2 INPUT: vname1 = first tplot variable name vname2 = second tplot variable name OUTPUT: main_period = the period given the maximum coherence. KEYWORDS: deltat = time interval of observation data width = the width of window function Default is 10. window = type of window function (hanning, boxcar, gaussian, triangle) Default is 'hanning' window. xsize = plot size of x direction. Default is 1400. ysize = plot size of y direction. Default is 700. EXAMPLE: uspec_coh, tplot1, tplot2 CODE: R. Hamaguchi, 15/01/2013. MODIFICATIONS: A. Shinbori, 31/01/2013. ACKNOWLEDGEMENT: $LastChangedBy: $ $LastChangedDate: $ $LastChangedRevision: $ $URL $
(See iugonet/tools/statistical_package/uspec_coh.pro)
PROCEDURE: ustrans_pwrspc, varname, newname = newname PURPOSE: Calculate the local power spectrum for given time-series data and return the structure which contains {st:, ph: freq:, time:} where st is the S Transform and store the tplot variable. INPUT: varname = variable passed to get_data, example - uts_mag_ccnv KEYWORDS: newname: set output variable name \help explains all the keywords and parameters \verbose flags errors and size \samplingrate if set returns array of frequency \maxfreq maximum frequency performing the S transform \minfreq minimum frequency performing the S transform \freqsmplingrate frequency interval \power returns the power spectrum \abs returns the absolute value spectrum \Rremoveedge removes the edge with a 5% taper, and takes out least-sqares fit parabola HISTORY: 14-aug-2012, Atsuki Shinbori $LastChangedBy$ $LastChangedDate$ $LastChangedRevision$ $URL$
(See iugonet/tools/statistical_package/ustrans_pwrspc.pro)
NAME: utrend_test PURPOSE: Test whether there is a significant trend of time-serise data or not. SYNTAX: utrend_test,vname1,sl=sl KEYWORDS: sl:significant level (Default is 0.05) CODE: R. Hamaguchi, 17/01/2013. MODIFICATIONS: A. Shinbori, 01/05/2013. ACKNOWLEDGEMENT: $LastChangedBy: $ $LastChangedDate: $ $LastChangedRevision: $ $URL $
(See iugonet/tools/statistical_package/utrend_test.pro)
NAME: welch_test PURPOSE: 2つのデータ間の平均値が同一かを検定する。仮定は両分布とも正規分布かつ異分散。 SYNTAX: result=Welch_test(x,y,sl=**,mv=**) KEYWORDS: sl:有意水準。設定しなければ5%で検定。 mv:欠損値。設定しなければNaNのみを処理する。 結果は同一ならば「1」を、異なれば「0」を返す。 z:検定統計量 t_sl:有意水準におけるt分布の臨界値 CODE: R. Hamaguchi, 13/12/2012. MODIFICATIONS: A. Shinbori, 01/05/2013. ACKNOWLEDGEMENT: $LastChangedBy: $ $LastChangedDate: $ $LastChangedRevision: $ $URL $
(See iugonet/tools/statistical_package/welch_test.pro)
NAME: udifference_test PURPOSE: 平均値検定を行うプログラム。 χ二乗検定によって正規分布との適合を検定する。 どちらも正規分布に従う場合はWelch検定 どちらかが正規分布に従わない場合はマンホイットニー検定のみを用いる。 SYNTAX: difference_test,vname1,vname2,sl=** KEYWORDS: result:検定結果を'0':ウェルチ検定使用-判定は異,'1':ウェルチ検定使用-判定は同,'2':マンホイットニー-異,'3':マンホイットニー-同、で返す sl:有意水準。指定しない場合はsl=0.05で検定。 test_sel:行う検定を指定。'2'はマンホイットニー検定、'1'はウェルチ検定、'0'はχ二乗検定によって正規分布との適合を検定 CODE: R. Hamaguchi, 13/02/2012. MODIFICATIONS: A. Shinbori, 01/05/2013. ACKNOWLEDGEMENT: $LastChangedBy: $ $LastChangedDate: $ $LastChangedRevision: $ $URL $
(See iugonet/tools/statistical_package/udifference_test.pro)
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(See iugonet/tools/statistical_package/udifference_test.pro)