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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSat, 19 Dec 2015 14:08:25 +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/2015/Dec/19/t14505341190urfuky4ln2nop0.htm/, Retrieved Thu, 31 Oct 2024 23:01:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=286962, Retrieved Thu, 31 Oct 2024 23:01:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact158

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2015-12-19 14:08:25] [52b8a1f318e0a92009217e543c58643f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1747
1245
1182
958
1000
1044
875
939
736
905
796
372
1326
668
962
912
1119
891
931
1047
982
1098
714
128
1784
828
1199
1095
977
1338
975
840
1324
1236
883
177
2186
809
1434
1365
1247
1476
1211
990
1205
1238
952
204
2135
1157
1290
1071
1169
1431
945
1034
1100
1297
921
236
1990
966
1326
908
1206
1861
929
1296
1332
1352
1040
148
2090
1435
1124
1319
1436
1774
1566
1385
1147
1274
625
52
1990
1154
954
887
825
966
954
770
1838
1371
589
116
1898
712
1175
1240
1329
1550
1201
938
1030
1060
1035
635
2565
910
1304
1331
1681
1983
1021
1061
1292
1274
1024
568
2570
1125
1600
1492
2492
3523
990
869
1310
979
1244
442
2956
1055
2004
1462
1144
1454
1538
1388
1547
1570
1535
1352
1888
999
1158
1342
1443
1519
1267
1454
987
1430
1254
734

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net

\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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286962&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286962&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286962&T=0

As an alternative you can also use a QR Code:  
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'Sir Maurice George Kendall' @ kendall.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,500[25090.0576920.0576920.000115
[500,1000[750450.2884620.3461540.000577
[1000,1500[1250740.4743590.8205130.000949
[1500,2000[1750190.1217950.9423080.000244
[2000,2500[225050.0320510.9743596.4e-05
[2500,3000[275030.0192310.993593.8e-05
[3000,3500[3250000.993590
[3500,4000]375010.0064111.3e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,500[ & 250 & 9 & 0.057692 & 0.057692 & 0.000115 \tabularnewline
[500,1000[ & 750 & 45 & 0.288462 & 0.346154 & 0.000577 \tabularnewline
[1000,1500[ & 1250 & 74 & 0.474359 & 0.820513 & 0.000949 \tabularnewline
[1500,2000[ & 1750 & 19 & 0.121795 & 0.942308 & 0.000244 \tabularnewline
[2000,2500[ & 2250 & 5 & 0.032051 & 0.974359 & 6.4e-05 \tabularnewline
[2500,3000[ & 2750 & 3 & 0.019231 & 0.99359 & 3.8e-05 \tabularnewline
[3000,3500[ & 3250 & 0 & 0 & 0.99359 & 0 \tabularnewline
[3500,4000] & 3750 & 1 & 0.00641 & 1 & 1.3e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286962&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][0,500[[/C][C]250[/C][C]9[/C][C]0.057692[/C][C]0.057692[/C][C]0.000115[/C][/ROW]
[ROW][C][500,1000[[/C][C]750[/C][C]45[/C][C]0.288462[/C][C]0.346154[/C][C]0.000577[/C][/ROW]
[ROW][C][1000,1500[[/C][C]1250[/C][C]74[/C][C]0.474359[/C][C]0.820513[/C][C]0.000949[/C][/ROW]
[ROW][C][1500,2000[[/C][C]1750[/C][C]19[/C][C]0.121795[/C][C]0.942308[/C][C]0.000244[/C][/ROW]
[ROW][C][2000,2500[[/C][C]2250[/C][C]5[/C][C]0.032051[/C][C]0.974359[/C][C]6.4e-05[/C][/ROW]
[ROW][C][2500,3000[[/C][C]2750[/C][C]3[/C][C]0.019231[/C][C]0.99359[/C][C]3.8e-05[/C][/ROW]
[ROW][C][3000,3500[[/C][C]3250[/C][C]0[/C][C]0[/C][C]0.99359[/C][C]0[/C][/ROW]
[ROW][C][3500,4000][/C][C]3750[/C][C]1[/C][C]0.00641[/C][C]1[/C][C]1.3e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286962&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286962&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,500[25090.0576920.0576920.000115
[500,1000[750450.2884620.3461540.000577
[1000,1500[1250740.4743590.8205130.000949
[1500,2000[1750190.1217950.9423080.000244
[2000,2500[225050.0320510.9743596.4e-05
[2500,3000[275030.0192310.993593.8e-05
[3000,3500[3250000.993590
[3500,4000]375010.0064111.3e-05


Figures (Output of Computation)

Input Parameters & R Code

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.numeric(x[1])) {
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)
}
} else {
barplot(mytab <- sort(table(x),T),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
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')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}