home *** CD-ROM | disk | FTP | other *** search
-
- _W_i_l_c_o_x_o_n _R_a_n_k _S_u_m _a_n_d _S_i_g_n_e_d _R_a_n_k _T_e_s_t_s
-
- wilcox.test(x, y = NULL, alternative = "two.sided", mu = 0,
- paired = FALSE, exact = FALSE, correct = TRUE)
-
- _A_r_g_u_m_e_n_t_s:
-
- x : numeric vector of data values.
-
- y : an optional numeric vector of data values.
-
- alternative : indicates the alternative hypothesis and must
- be one of "two.sided", "greater" or "less".
- You can specify just the initial letter.
-
- mu : a number specifying an optional location
- parameter.
-
- paired : a logical indicating whether you want a
- paired test.
-
- exact : a logical indicating whether an exact p-value
- should be computed.
-
- correct : a logical indicating whether to apply con-
- tinuity correction in the normal approxima-
- tion for the p-value.
-
- _D_e_s_c_r_i_p_t_i_o_n:
-
- wilcox.test performs one and two sample Wilcoxon tests
- on vectors of data.
-
- If only x is given, or if both x and y are given and
- paired is TRUE, a Wilcoxon signed rank test of the null
- that the median of x (in the one sample case) or of x-y
- (in the paired two sample case) equals mu is performed.
-
- Otherwise, if both x and y are given and paired is
- FALSE, a Wilcoxon rank sum test (equivalent to the
- Mann-Whitney test) is carried out. In this case, the
- null hypothesis is that the location of the distribu-
- tions of x and y differ by mu.
-
-