Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 05 Aug 2010 09:49:30 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Aug/05/t1281001742objn6dfx3561334.htm/, Retrieved Thu, 31 Oct 2024 23:52:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78361, Retrieved Thu, 31 Oct 2024 23:52:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact184
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Histogram - Aanta...] [2010-08-05 09:49:30] [59fa324537f53fb6459bc6951db20f7b] [Current]
- RMP     [Quartiles] [quartiles - aanta...] [2010-08-05 11:19:43] [ac315746bcfd4b49be8a7809409ed233]
- RMP     [Quartiles] [quartiles - aanta...] [2010-08-05 11:19:43] [ac315746bcfd4b49be8a7809409ed233]
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Dataseries X:
900
899
898
896
916
915
900
890
891
891
892
894
896
889
878
883
901
897
881
866
867
866
862
871
865
856
847
859
870
872
856
839
829
825
822
827
822
812
810
816
820
823
810
793
777
772
765
765
753
742
736
740
742
742
728
707
699
696
689
692
673
653
642
648
654
653
630
609
598
601
592
591
568
538
523
530
529
534
513
491
480
478
462
461
437
411
400
405
395
407
385
366
349
343
332
327
306
276
269
268
260
274
247
226
212
199
188
179
155
124
117
116
105
112
86
64
53
42
32
24




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78361&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78361&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78361&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,100[5060.050.055e-04
[100,200[15090.0750.1250.00075
[200,300[25080.0666670.1916670.000667
[300,400[35080.0666670.2583330.000667
[400,500[450100.0833330.3416670.000833
[500,600[550100.0833330.4250.000833
[600,700[650130.1083330.5333330.001083
[700,800[750130.1083330.6416670.001083
[800,900[850380.3166670.9583330.003167
[900,1000]95050.04166710.000417

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,100[ & 50 & 6 & 0.05 & 0.05 & 5e-04 \tabularnewline
[100,200[ & 150 & 9 & 0.075 & 0.125 & 0.00075 \tabularnewline
[200,300[ & 250 & 8 & 0.066667 & 0.191667 & 0.000667 \tabularnewline
[300,400[ & 350 & 8 & 0.066667 & 0.258333 & 0.000667 \tabularnewline
[400,500[ & 450 & 10 & 0.083333 & 0.341667 & 0.000833 \tabularnewline
[500,600[ & 550 & 10 & 0.083333 & 0.425 & 0.000833 \tabularnewline
[600,700[ & 650 & 13 & 0.108333 & 0.533333 & 0.001083 \tabularnewline
[700,800[ & 750 & 13 & 0.108333 & 0.641667 & 0.001083 \tabularnewline
[800,900[ & 850 & 38 & 0.316667 & 0.958333 & 0.003167 \tabularnewline
[900,1000] & 950 & 5 & 0.041667 & 1 & 0.000417 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78361&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][0,100[[/C][C]50[/C][C]6[/C][C]0.05[/C][C]0.05[/C][C]5e-04[/C][/ROW]
[ROW][C][100,200[[/C][C]150[/C][C]9[/C][C]0.075[/C][C]0.125[/C][C]0.00075[/C][/ROW]
[ROW][C][200,300[[/C][C]250[/C][C]8[/C][C]0.066667[/C][C]0.191667[/C][C]0.000667[/C][/ROW]
[ROW][C][300,400[[/C][C]350[/C][C]8[/C][C]0.066667[/C][C]0.258333[/C][C]0.000667[/C][/ROW]
[ROW][C][400,500[[/C][C]450[/C][C]10[/C][C]0.083333[/C][C]0.341667[/C][C]0.000833[/C][/ROW]
[ROW][C][500,600[[/C][C]550[/C][C]10[/C][C]0.083333[/C][C]0.425[/C][C]0.000833[/C][/ROW]
[ROW][C][600,700[[/C][C]650[/C][C]13[/C][C]0.108333[/C][C]0.533333[/C][C]0.001083[/C][/ROW]
[ROW][C][700,800[[/C][C]750[/C][C]13[/C][C]0.108333[/C][C]0.641667[/C][C]0.001083[/C][/ROW]
[ROW][C][800,900[[/C][C]850[/C][C]38[/C][C]0.316667[/C][C]0.958333[/C][C]0.003167[/C][/ROW]
[ROW][C][900,1000][/C][C]950[/C][C]5[/C][C]0.041667[/C][C]1[/C][C]0.000417[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78361&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78361&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,100[5060.050.055e-04
[100,200[15090.0750.1250.00075
[200,300[25080.0666670.1916670.000667
[300,400[35080.0666670.2583330.000667
[400,500[450100.0833330.3416670.000833
[500,600[550100.0833330.4250.000833
[600,700[650130.1083330.5333330.001083
[700,800[750130.1083330.6416670.001083
[800,900[850380.3166670.9583330.003167
[900,1000]95050.04166710.000417



Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
dev.off()
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')