Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software ModuleRscript (source code is shown below)
Title produced by softwareR console
Date of computationTue, 26 May 2009 13:16:03 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/May/26/t1243365364pxe1c04czje2ktu.htm/, Retrieved Sat, 04 May 2024 06:24:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=40390, Retrieved Sat, 04 May 2024 06:24:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact129
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [R console] [test] [2009-05-26 19:16:03] [b768c7adc2675864c15627b87ad9ef22] [Current]
Feedback Forum

Post a new message
Dataseries X:
1.03457377339473	0.0245556021740766
-1.13082849565603	0.486280072315775
-0.521945662252802	0.253110485130989
-0.516971093849468	2.30900360630029
-0.598791614339322	0.152722698678174
1.45571726434729	0.746966022337334
-1.56285162797616	-0.109565054797920
-0.620190297996724	-0.204451413200669
-0.595187226820748	-0.604039555496071
-0.329562404854239	0.132386132109465
1.55514942919151	-0.994680843342577
0.861469643086633	0.269788492664246
-0.604191000837449	0.890207440343845
-0.76192963164353	0.725879169264903
0.165620885683184	-2.45948733708593
0.765249295751463	1.65809986697784
-0.563480082565552	-2.1133721374791
1.15027057685573	1.32319519416386
-0.396736252753726	-1.65370105620254
-1.00283630218436	0.0816733560560382
-0.826554785803117	-1.23849135069879
0.00352136084280422	0.493819157632048
0.292486860326535	0.184127998271585
-0.178469814193132	1.55240434137003
0.064523288364968	-1.74989792470977
0.745458414118657	-0.0731497120046219
-0.831156043664095	-0.40908937208561
-0.99516798434161	1.68473644340854
-2.20656009261607	-0.82275668644212
-1.02472395923675	-0.71275947046212
-0.470544781503504	-0.112132945500297
-0.498643339666308	1.68512007476340
0.751992895060032	0.585079556396017
-1.44867934245137	-0.84944070495288
1.18792320991735	-0.979109093788344
0.820935016833558	-0.549035468670756
0.128690356328958	-0.830025524526681
-1.29448203078145	0.605108276529092
0.364801516167286	-1.4921704657591
-1.00166359787754	-1.61175543843240
-1.4353131681112	1.66613588638101
-0.811128397206669	-0.954001542801282
-0.255149232657320	0.367225979613626
-0.139010990490679	-1.20001430607324
1.46361380294951	0.499971370023098
0.854165112193906	-1.10755020428843
-0.988531022693853	-1.39883653515158
1.05706591956020	-0.972947301797297
-0.384897302914933	1.73121513554866
0.801665811027092	-0.972074036436578
> first_number = 5

> second_number = 7

> strpar = 'main title'

> {
+     myfun <- function(x, y) {
+             x + y
+         }
+ 
+     plot(RCx, main = strpar, xlab = 'my xlab', ylab = 'my ylab')
+     hist(R .... [TRUNCATED] 
[1] 12
Parameters (Session):
par1 = 5 ; par2 = 7 ; par3 = maintitle ;
Parameters (R input):
R code (body of R function):
{
myfun <- function(x, y) {
x + y
}

plot(x, main = par3, xlab = "my xlab", ylab = "my ylab")


hist(x[, 1], main = "my histogram")


pairs(x, main = "pairs plot")

print(myfun(par1, par2))
}