For additional help, send me an email note to .... Dennis Roberts
The list below assumes you have access to at least Minitab Release 10. For help on any of these, pull down the HELP menu ... click on Contents ... and click on Session Commands. Then, scroll down the list until you reach the command/subcommand of interest ... click on it and get additional help. Here are two examples of what you would see if you did that ... with DESCRIBE and REGRESSION.
NOTE: The standard form for help is to show you what the command would have to be at the session window after the MTB> prompt ... with any subcommand possibilities, followed usually with more information about the output and possibly an example. Also, the help indicates how you would access the feature using the pull down menus and/or dialog boxes. I am assuming with this handout that you are using the Session window and are at the MTB> prompt. I have found this to be the most efficient way to use Minitab AFTER you get familiar with the commands.
1. DESCRIBE Command Syntax DESCRIBE C...C <---- Command line ... which columns to use? BY C <---- Subcommand line ... describe by subgroups
[EXTRA! There is an undocumented subcommand DECI that will let you get varying decimal place output from describe ... ie, DECI 4. will yield 4 places] Displays descriptive statistics for each column. The number of nonmissing values (N), the number of missing values (N*), the mean, median, trimmed mean (TRMEAN) standard deviation, standard error of the mean (SEMEAN), minimum, maximum, first quartile (Q1) and third quartile (Q3) are calculated.
See also: Stat > Basic Statistics > Descriptive Statistics <---- Pull down menu way STATS %DESCRIBE 2. REGRESS Command Syntax REGRESS C on K predictors C...C <---- Y and #predictors and predictors regr c3 2 c1 c4 ... for example
NOTE: There are MANY subcommands for regress ... RESI will store the errors or residuals, FITS will store predicted values, and PRED will make Minitab subsitute some X value(s) into the equation and solve for Y' ... these are just a couple.
Performs simple, polynomial, and multiple regression using the least squares method. You can predict future observations, and store the residuals, fitted values, and many other diagnostics for further analysis (see Residual Analysis and Regression Diagnostics). To plot a fitted regression line with simple regression see %FITLINE. To fit a model without a constant (intercept) see NOCONSTANT. The command BRIEF can be used to control the amount of output. See also: Stat > Regression > Regression <---- Menu approach COMMAND/SUBCOMMAND LIST
This list is alphabetical. In general, but not always, I will say what the command does ... and give a simple version of the command. Again ... PLEASE SEE THE HELP SCREENS FROM THE HELP MENU ... TO GET MORE INFORMATION AND OPTIONS WITH THE COMMANDS/SUBCOMMANDS. This is particularly true for graphics ... and relevant subcommands ... they can be a BIT tricky!
C = Command; S = Subcommand; SG = Subcommand for graphics; M = Macro ANOVA [C] Does multifactor analysis of variance. MTB> anova c3=c1 c2 c1*c2 AOVO [C] Does one way analysis of variance when data are in separate columns MTB> aovo c1-c3 AREA [SG] Shades in areas under points on graphs BOXP [C] Makes a boxplot of the data. MTB> boxp c4
CDF [C] Cumulative distribution function ... you input baseline score and MTB gives
you area UP TO that score. Subcommand specifies distribution.
MTB> cdf 110; SUBC> normal 100 15. CENTER [C] Converts column of data into z scores MTB> cent c3, c10 <---- Makes z scores of c3 and puts in c10 CHIS [C] Does chisquare contingency analysis on 2 dimensional frequency table MTB> chis c3 c4 CODE [C] Recodes from 1 value to another MTB> code (3)2 c3 c4 <---- Takes all 3s in c3, makes them into 2s ... and puts new data set in c4 CONNECT [SG] Connects points to make a line COPY [C] Copies data from one place to another MTB> copy k1-k5 c10 <---- Takes constants k1-k5 and puts them into column c10 CORR [C] Does Pearson correlations on columns MTB> corr c3-c6 <---- Does all pairs of rs ... c3c4, c4c6, etc. COVA [C] Does covariances MTB> cova c3-c6 DATA Line for entering data for commands READ and SET DESC [C] Prints out many descriptive stats on columns specified MTB> desc c4-c6 %DESCRIBE [M] Does more extensive desc but, on only 1 column DOTP [C] Makes a dotplot of columns MTB> dotp c2 c3; SUBC> same. <---- Puts c2 and c3 on same X axis END For commands READ and SET ... tells MTB you have finished data ERASE [C] Erases columns ... BE CAREFUL!!!!!!!!! MTB> eras c3 c4 <---- c3 and c4 are HISTORY! EXEC [C] Runs a macro file MTB> exec æfast' <---- Runs æfast' macro %FITLINE [M] Plots regression line MTB> %fitline c2 c1 <---- Y in c2 and X in c1 FOOTNOTE [SG] Puts footnote on graph SUBC> footnote æGraph based on 1995 data'. GPRO [C] Switches to professional graphics (this is default setting) GRID [SG] Makes grid lines on graphs SUBC> grid 1. GSAVE [SG] Saves a graph SUBC> gsave æa:pict'. <---- Saves graph as æpict' on drive a: GSTD [C] Goes into standard (old) graphics mode MTB> gstd HELP [C] Gets help on requested item MTB> help describe HIST [C] Makes histogram MTB> hist c5 INFO [C] Gets information on the worksheet MTB> info %INTERACT [M] Makes an interaction plot in analysis of variance MTB> %interact c2 c3; <---- Cols for ind var codes SUBC> responses c4. <---- Dep var data %INTPLOT [C] Makes confidence interval plot for groups in 1 way anova MTB> %intplot c3 c4 <---- 1st c is dep var, 2nd c is groups INVCDF [C] Converts specified percentile rank to baseline X value MTB> invcdf .7; <---- Input PR as a decimal! SUBC> norm 100 15. <---- Tells MTB what distribution LET [C] Does various arithmetic operations MTB> let c5 = c1 + c2 + c3 <---- Adds c1-c3, puts in c5 LINE [SG] Connects points on line SUBC> line c2 c3. <---- X comes first, then Y %MAIN [M] Plots group means in 1 way analysis of variance MTB> %main c5; <---- Group codes column SUBC> responses c6. <---- Dep var data in this column %MARGPLOT [M] Makes scatterplot with freq distributions for X and Y MTB> %margplot c3 c4 MATRIXPLOT [C] Makes multiple scatterplots on same graph MTB> matrixplot c3-c5 MEAN [C] Finds mean for ONE column MTB> mean c3 MEDIAN [C] Finds median for ONE column MTB> median c3 NAME [C] Gives names to columns MTB> name c3='Data' ONEWAY [C] Does one way analysis of variance MTB> onew c3 c4; <---- Dep var data in c3, group codes in c4 SUBC> tukey. <---- Does Tukey followup test PDF [C] Probability density function ... finds relative height at X point MTB> pdf 89; <---- Finds rel height at X point of 89 SUBC> norm 100 15. <---- Specify what dist you are using PLOT [C] Makes scatterplot MTB> plot c3*c4 PRINT [C] Makes on screen list of data MTB> print c3-c5 PROJECT [SG] Makes projection lines from plotted points on graph RANDOM [C] Generates random data from distributions MTB> rand 100 c3; <---- How many and put where SUBC> inte 10:20. <---- Take from integer dist from 10 to 20 RANGE [C] Finds range for ONE column MTB> range c10 RANK [C] Ranks data in column ... but does it backwards MTB> rank c4, c5 <---- Uses data in c4, ranks, and puts in c5 READ [C] Allows data entry for multiple columns MTB> read c3-c5 <---- Enter 3 values on each DATA> line REGRESS [C] Does simple and multiple regression MTB> regr c2 1 c1 <---- Y is c2 ... 1 predictor ... X is c1 %RESPLOTS [M] Plots residuals and regression line AFTER using regr MTB> %resplots c4, c3 <---- Res in c4 ... fits in c3 RETRIEVE [C] Calls up saved worksheet MTB> retr æpulse' RMEAN [C] Finds means of rows and stores in new column MTB> rmean c1-c5, c6 <---- Finds means over c1-c5, puts in c6 RMEDIAN [C] Same as above ... but for medians MTB> rmedian c1-c5, c6 ROUND [C] Rounds values MTB> round c1, c2 <---- Rounds values in c1, puts in c2 RSTDEV [C] Same as rmean ... but for standard deviations MTB> rstdev c1-c5, c6 RSUM [C] Same as rmean ... but calculates sum MTB> rsum c1-c5, c6 SAMPLE [C] Take random sample FROM an existing column MTB> rand 20 c1, c2 <---- Takes 20 at rand from c1, puts in c2 SAVE [C] Saves worksheet AT POINT IN TIME THAT SAVE IS USED MTB> save æa:data' <---- Saves worksheet ædata' to a: SET [C] Lets you enter data into ONE column MTB> set c4 SORT [C] Sorts data from a column MTB> sort c10, c11 <---- Sorts c10 and puts in c11 STACK [C] Stacks several columns on top of one another MTB> stack c1-c3, c4 <---- Piles c1 c2 c3 in c4 STDEV [C] Finds standard deviation for ONE column MTB> stdev c10 STEM [C] Makes stem and leaf diagram MTB> stem c20 STOP [C] Ends your MTB session ... BE CAREFUL!!!! SUM [C] Sums values in a column MTB> sum c12 SYMBOL [SG] Controls type of symbol used for plots SUBC> symb; SUBC> type 12. <---- Makes solid square symbols TABLE [C] Makes table of data in columns MTB> table c2 c3; <---- Column subdivisions here SUBC> mean c4. <---- Puts mean from c4 in cells of table TALLY [C] Makes basic frequency distribution ... no decimals allowed! MTB> tally c3 c5 [Note: New REL 11 allows decimals] TICK [SG] Controls tick marks on X and/or Y axis SUBC> tick 1 10:30/2. <---- Puts ticks of 10,12, etc. on X axis TINTERVAL [C] Makes t confidence interval for mean MTB> tint c5 <---- Default value is 95% TRANSPOSE [SG] Reverses X and Y axes in graphs TTEST [C] Does simple t test for population mean MTB> ttest 50 c4 <---- Assumes H(0) = 50 TUKEY [S] Does Tukey followup test for onew anova command SUBC> tukey. <---- See onew command TWOSAMPLE [C] Does t test for difference in means, data in diff columns MTB> twos c3 c4 TWOT [C] Does same as above ... but data laid out differently MTB> twot c4, c5 <---- Dep var in c4, group codes in c5 UNSTACK [C] Opposite of STACK ... disentangles data in column MTB> unstack c1, c10 c11; <---- Take c1 ... put in c10 c11 SUBC> subs c2. <--- using two codes values that are in c22
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