Nothing
#compares ihh2ihs (standardization) with values obtained by this function in release 2.0.4
context("ihh2ihs")
test_that("checked_ihh2ihs", {
library(rehh.data)
data(wgscan.cgu)
ihs.cgu <- ihh2ihs(wgscan.cgu, verbose = FALSE)
expectedFreqClasses <- data.frame(
c(
1090,
907,
787,
837,
824,
886,
802,
690,
843,
824,
991,
823,
732,
874,
917,
1038,
966,
816,
954,
1005,
1160,
970,
1036,
1049,
897,
1346,
1129,
1177,
1165,
1018,
1514,
1260,
1411,
1478,
1316,
1635
),
c(
-0.711792027907377,
-0.578893855926013,
-0.457292623663963,
-0.399226543658018,
-0.348478625063976,
-0.280816726479214,
-0.282833083733207,
-0.233570127082276,
-0.194029441167255,
-0.186002451166171,
-0.166916033629341,
-0.126390301747902,
-0.107125375206074,
-0.116176514124248,
-0.116613897618552,
-0.0811485113692771,
-0.0552501596504867,
-0.000105576812395406,
-0.0174117431748217,
0.0149188721038136,
0.0226999538837744,
0.0464374061365272,
0.0787090341193259,
0.0960085904552361,
0.108593745123183,
0.139602860388728,
0.157519600587737,
0.195818940728144,
0.247597642322602,
0.26801990729495,
0.265330940334051,
0.330343664507751,
0.374366270720777,
0.471050387171474,
0.580475986263097,
0.728608735706007
),
c(
0.610603227939361,
0.570357587947288,
0.487584309883171,
0.454222982105294,
0.434112576353058,
0.462122118497751,
0.447777662447761,
0.459491083363563,
0.441661429902016,
0.436077200320733,
0.430416082094664,
0.442961109519092,
0.427420907718221,
0.459441463605084,
0.46443573120339,
0.446264010052274,
0.441710927275144,
0.456965260306721,
0.47146650652992,
0.4533516196045,
0.430383749145416,
0.450423201525377,
0.445725753265559,
0.462956924562142,
0.419116376287293,
0.42152879917028,
0.453165153945328,
0.453180504788825,
0.44596536054357,
0.43298435214188,
0.450116704189876,
0.453250276679715,
0.472483172300497,
0.507939155843418,
0.555679771600724,
0.645774173625061
)
)
expect_equivalent(ihs.cgu$frequency.class[, 1:3], expectedFreqClasses)
expectedIhs <- data.frame(
CHR = rep("1", 6),
POSITION = c(113642,
244699, 369419, 447278, 487654, 524507),
IHS = c(
-0.558299239642611,
0.272333661628506,
0.481073631119111,
1.06187102387775,
0.818405971161885,
-0.389702403570878
),
LOGPVALUE = c(
0.239095186782283,
0.104928194005625,
0.200339591023662,
0.540164032852241,
0.383918088706178,
0.156918896931616
),
row.names = c(
"F0100190",
"F0100220",
"F0100250",
"F0100270",
"F0100280",
"F0100290"
),
check.names = FALSE,
stringsAsFactors = FALSE
)
expect_equivalent(head(ihs.cgu$ihs), expectedIhs)
# check Bonferoni correction
ihs.cgu_adj <-
ihh2ihs(wgscan.cgu, p.adjust.method = "bonferroni", verbose = FALSE)
# multiply raw p-values by number of rows, cut-off at 1
p.adj <-
mapply(max, ihs.cgu$ihs$LOGPVALUE - log10(nrow(ihs.cgu$ihs)), 0)
# identical only up to 1E-15
expect_equivalent(ihs.cgu_adj$ihs$LOGPVALUE, p.adj)
})
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