tests/testthat/_snaps/t.md

In ISCAM: Companion to the Book "Investigating Statistical Concepts, Applications, and Methods"

iscaminvt handles above and between directions

Code
  res_above$output
Output
  [1] "The observation with 0.1 probability above is 1.356 "

Code
  res_between$output
Output
  [1] "There is 0.9 probability between -1.86 and 1.86 "

iscamtprob matches t tail probabilities

Code
  res_below$output
Output
  [1] "probability: 0.03375 "

Code
  res_between$output
Output
  [1] "probability: 0.9313 "

iscamtprob handles all branches and validates parameters

Code
  res_above$output
Output
  [1] "probability: 0.0606 "

Code
  res_outside$output
Output
  [1] "probability: 0.1554 "

iscamonesamplet returns Welch statistics

Code
  res$output
Output
  [1] ""                                                          
  [2] "One Sample t test"                                         
  [3] ""                                                          
  [4] "mean = 2.5, sd = 1.2,  sample size = 30"                   
  [5] "Null hypothesis       : mu = 2 "                           
  [6] "Alternative hypothesis: mu > 2 "                           
  [7] "t-statistic: 2.282 "                                       
  [8] "95 % Confidence interval for mu: ( 2.051913 ,  2.948087 ) "
  [9] "p-value: 0.01499991 "

iscamonesamplet handles one-sided and two-sided hypotheses

Code
  res_less$output
Output
  [1] ""                                       
  [2] "One Sample t test"                      
  [3] ""                                       
  [4] "mean = 4.8, sd = 1.1,  sample size = 22"
  [5] "Null hypothesis       : mu = 5.2 "      
  [6] "Alternative hypothesis: mu < 5.2 "      
  [7] "t-statistic: -1.706 "                   
  [8] "p-value: 0.05141529 "

Code
  res_two$output
Output
  [1] ""                                       
  [2] "One Sample t test"                      
  [3] ""                                       
  [4] "mean = 7.1, sd = 1.5,  sample size = 18"
  [5] "Null hypothesis       : mu = 7 "        
  [6] "Alternative hypothesis: mu <> 7 "       
  [7] "t-statistic: 0.2828 "                   
  [8] "p-value: 0.7807125 "

iscamonesamplet prints help for question mark

Code
  collapse_output(help_lines)
Output
  [1] "Arguments:\n     xbar: Observed mean.\n     sd: Observed standard deviation.\n     n: Sample size.\n     hypothesized: Hypothesized population mean.\n     alternative: \"less\", \"greater\", or \"two.sided\"\n     conf.level: Confidence level.\n     verbose: Logical, defaults to 'TRUE'. Set to 'FALSE' to suppress\n     messages"

iscamonesamplet returns confidence intervals without hypothesis

Code
  res_conf$output
Output
  [1] ""                                                            
  [2] "One Sample t test"                                           
  [3] ""                                                            
  [4] "mean = 0.62, sd = 0.2,  sample size = 15"                    
  [5] "95 % Confidence interval for mu: ( 0.5092437 ,  0.7307563 ) "
  [6] "99 % Confidence interval for mu: ( 0.4662765 ,  0.7737235 ) "

iscamonesamplet reports single confidence interval without hypothesis

Code
  res$output
Output
  [1] ""                                                          
  [2] "One Sample t test"                                         
  [3] ""                                                          
  [4] "mean = 1.8, sd = 0.4,  sample size = 20"                   
  [5] "95 % Confidence interval for mu: ( 1.612794 ,  1.987206 ) "

iscamtwosamplet returns Welch two-sample results

Code
  res$output
Output
   [1] ""                                                                 
   [2] "Two Sample t test"                                                
   [3] ""                                                                 
   [4] "Group1: mean = 5, sd = 2,  sample size = 30"                      
   [5] "Group2: mean = 4, sd = 1.5,  sample size = 28"                    
   [6] "diff:1"                                                           
   [7] ""                                                                 
   [8] "Null hypothesis       : mu1-mu2 = 0 "                             
   [9] "Alternative hypothesis: mu1-mu2 <> 0 "                            
  [10] "t-statistic: 2.163 "                                              
  [11] "df: 53.58 "                                                       
  [12] "95 % Confidence interval for mu1-mu2: ( 0.07304471 ,  1.926955 ) "
  [13] "p-value: 0.035 "

iscamtwosamplet handles less alternative

Code
  res$output
Output
   [1] ""                                               
   [2] "Two Sample t test"                              
   [3] ""                                               
   [4] "Group1: mean = 4.5, sd = 1.2,  sample size = 18"
   [5] "Group2: mean = 5.1, sd = 1.4,  sample size = 20"
   [6] "diff:-0.6"                                      
   [7] ""                                               
   [8] "Null hypothesis       : mu1-mu2 = 0 "           
   [9] "Alternative hypothesis: mu1-mu2 < 0 "           
  [10] "t-statistic: -1.422 "                           
  [11] "df: 35.93 "                                     
  [12] "p-value: 0.08181 "

iscamtwosamplet provides intervals without hypothesis test

Code
  res$output
Output
  [1] ""                                                                 
  [2] "Two Sample t test"                                                
  [3] ""                                                                 
  [4] "Group1: mean = 6.2, sd = 1.1,  sample size = 25"                  
  [5] "Group2: mean = 5.8, sd = 1.3,  sample size = 24"                  
  [6] "diff:0.4"                                                         
  [7] ""                                                                 
  [8] "95 % Confidence interval for mu1-mu2: ( -0.2942233 ,  1.094223 ) "

iscaminvt prints help for question mark

Code
  collapse_output(help_lines)
Output
  [1] "Arguments:\n     prob: Desired probability.\n     df: Degrees of freedom\n     direction: direction for probability calculation: \"above\", \"below\",\n     \"outside\", \"between\".\n     verbose: Logical, defaults to 'TRUE'. Set to 'FALSE' to suppress\n     messages"

iscamtwosamplet prints help for question mark

Code
  collapse_output(help_lines)
Output
  [1] "Arguments:\n     x1: Observed mean for group 1.\n     sd1: Observed standard deviation for group 1.\n     n1: Sample size for group 1.\n     x2: Observed mean for group 2.\n     sd2: Observed standard deviation for group 2.\n     n2: Sample size for group 2.\n     hypothesized: Hypothesized difference in population means.\n     alternative: \"less\", \"greater\", or \"two.sided\"\n     conf.level: Confidence level.\n     verbose: Logical, defaults to 'TRUE'. Set to 'FALSE' to suppress\n     messages iscamtwosamplet( x1 = 25, sd1 = 5, n1 = 40, x2 = 22,\n     sd2 = 6, n2 = 45, alternative = \"greater\" ) iscamtwosamplet(\n     x1 = 10, sd1 = 2, n1 = 50, x2 = 12, sd2 = 2.5, n2 = 50,\n     alternative = \"two.sided\" ) iscamtwosamplet( x1 = 8, sd1 =\n     1.5, n1 = 30, x2 = 5, sd2 = 1.8, n2 = 33, alternative =\n     \"greater\", hypothesized = 2 ) iscamtwosamplet( x1 = 15, sd1 =\n     3, n1 = 25, x2 = 12, sd2 = 3.5, n2 = 28, conf.level = 0.95 )"

iscamtprob prints help for question mark

Code
  collapse_output(help_lines)
Output
  [1] "Arguments:\n     xval: observed value.\n     df: degrees of freedom.\n     direction: direction for probability calculation, \"above\" or \"below\";\n     if \"outside\" or \"between\" are used, a second larger\n     observation, 'xval2' must be specified\n     xval2: second observation value.\n     verbose: Logical, defaults to 'TRUE'. Set to 'FALSE' to suppress\n     messages"

ISCAM documentation built on Feb. 12, 2026, 5:07 p.m.