- Data Structure
- Networking
- RDBMS
- Operating System
- Java
- MS Excel
- iOS
- HTML
- CSS
- Android
- Python
- C Programming
- C++
- C#
- MongoDB
- MySQL
- Javascript
- PHP
- Physics
- Chemistry
- Biology
- Mathematics
- English
- Economics
- Psychology
- Social Studies
- Fashion Studies
- Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
How to extract the p-value from t test in R?
To extract the p-value from t test in R, we can follow the below steps −
- First of all, create a data frame with numerical column or a numerical vector.
- Then, use t.test function to perform the test and put $p.value at the end to extract the p-value from the test output.
Example1
Create the data frame
Let's create a data frame as shown below −
x<-rnorm(20,5,1) df<-data.frame(x) df
On executing, the above script generates the below output(this output will vary on your system due to randomization) −
x 1 5.854093 2 6.075394 3 5.114147 4 3.672250 5 6.519127 6 5.145577 7 3.005657 8 2.994189 9 6.031218 10 4.981937 11 5.359909 12 4.914696 13 4.767514 14 6.090447 15 5.644259 16 6.210392 17 4.097178 18 5.242026 19 4.999231 20 5.494340
Perform the t test and extract the p-value
Using t.test function to perform the t-test on column x of df and extract the p-value with $p.value −
x<-rnorm(20,5,1) df<-data.frame(x) t.test(df$x,mu=5.8,alternative="less")$p.value
Output
[1] 0.003168284
Example2
Create the vector
Let’s create a vector as shown below −
y<-sample(1:1000,200) y
[1] 761 40 629 167 687 200 873 481 218 708 315 649 119 16 603 177 733 852 [19] 925 940 693 620 146 416 13 790 79 464 801 543 91 754 505 235 549 770 [37] 630 991 762 703 805 713 968 316 883 52 717 747 121 756 773 308 283 372 [55] 425 918 391 997 276 912 253 874 281 76 759 658 197 516 917 126 26 615 [73] 240 10 84 676 766 553 286 307 877 778 560 994 736 75 295 697 864 256 [91] 70 50 739 686 66 902 836 125 606 194 819 462 900 891 213 68 808 834 [109] 501 945 325 140 107 531 311 755 169 361 663 577 590 589 211 889 684 257 [127] 580 180 318 872 839 413 936 503 246 190 333 178 46 434 894 365 669 937 [145] 884 752 840 656 698 757 984 772 933 139 317 626 591 502 189 53 410 751 [163] 351 72 645 944 170 465 628 639 243 844 493 855 709 913 710 993 858 504 [181] 596 585 350 618 942 934 980 490 782 699 722 284 740 715 562 156 210 767 [199] 621 19
Perform the t test and extract the p-value
Using t.test function to perform the t-test on vector x and extract the p-value with $p.value −
y<-sample(1:1000,200) t.test(y,mu=500,alternative="greater")$p.value
Output
[1] 0.04181906
Advertisements